Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the high-level action of rolling back queued operations. It does not disclose side effects (e.g., whether the batch session is terminated), requirements (e.g., active batch), or error conditions. The destructive nature is implied by 'roll back' but not elaborated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that gets directly to the point with no filler. It is well-structured and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with one parameter, but the description is incomplete for an agent to invoke it correctly. It lacks usage guidance, parameter semantics, and behavioral details like whether an active batch is required. The presence of sibling tools like commit_batch and begin_batch suggests more context is needed, but the description does not provide it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has one required parameter batch_id with no description (0% coverage). The description does not mention batch_id at all, so it adds no meaning beyond the raw parameter name. Given the low schema coverage, the description should compensate but fails to explain what batch_id refers to or its format.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('roll back') on a specific resource ('all queued operations') within a 'given batch session'. This is a specific verb+resource construction that distinguishes it from sibling tools like commit_batch (which commits) and begin_batch (which starts a session).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for aborting a batch, but it does not explicitly mention when to use this tool versus commit_batch or begin_batch. There is no guidance on prerequisites (e.g., an active batch) or alternatives, so the agent must infer from the name and sibling context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It only states that it creates a dependency, implying mutation, but does not disclose side effects, validation behavior, or what happens if the elements are invalid. For a mutation tool this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no wasted words, but it is under-specified. It is concise but lacks necessary detail, so while structurally efficient, it fails to convey essential context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations and no parameter descriptions, the description is incomplete. It does not mention the output schema, error conditions, or how this differs from other dependency creation tools. The minimal information leaves an agent guessing about correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It hints at source and target via 'from source to target' but does not explain that these are element IDs, what types they accept, or any constraints beyond the schema's field names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create') and the resource ('SysML Copy dependency') from source to target. It distinguishes from generic add_dependency by specifying the Copy dependency type, which is a specific relationship among siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus add_dependency or other relationship creators. There is no mention of prerequisites, such as whether source and target must already exist, or when a Copy dependency is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations available, the description carries the full burden of behavioral disclosure. It only says 'Create a UML Dependency,' which implies a model modification but does not mention side effects, reversibility, required permissions, or what happens if the dependency already exists. This is insufficient for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence with no redundant words. It front-loads the core action and resource, making it easy to parse. While it is short, it is appropriately concise for what it conveys, with no wasted space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given three parameters (two required) with zero schema descriptions, no annotations, and an output schema that only helps with return values, the description is far from complete. An agent lacks critical information about what client_id and supplier_id refer to, how to obtain them, and the meaning of name. The description does not compensate for the sparse structured metadata, leaving significant gaps for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, so the description must compensate. It mentions 'client and supplier element,' which hints at the meaning of client_id and supplier_id, but does not explain the format (IDs, names, paths), the optional name parameter's purpose, or any constraints. The description adds minimal value beyond the schema's bare property names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Create' and the specific resource 'a UML Dependency between a client and supplier element.' This distinguishes it from other creation tools like create_association or create_generalization by naming the dependency type and its two endpoints, making the tool's purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, such as create_association for associations or create_connector for connectors. There are no prerequisites, exclusions, or examples of appropriate contexts, leaving the agent to infer usage solely from the tool name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It only states the action without disclosing side effects, error handling, prerequisites (e.g., that both requirements must exist), or what happens if the relationship already exists. This is a significant gap for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no filler. It is appropriately sized for a simple create operation, front-loading the core action. Every word contributes to the purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is minimal and does not explain the direction of the relationship (source vs. derived), the meaning of DeriveReqt, or any operational details. Given the existence of many sibling relationship tools and the lack of annotations, the description is incomplete for an agent to use it correctly without additional context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for parameter explanation. It does not mention source_req_id or derived_req_id at all, nor explain which is which or their roles in the relationship. The schema titles provide minimal hints but are not sufficient, especially without any descriptive context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates a DeriveReqt relationship between two requirements, using a specific verb and resource. It is distinguishable from siblings like add_satisfy or add_trace, but does not explicitly differentiate itself. The purpose is clear enough for an agent to understand what it does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. The description does not mention the semantics of the relationship (e.g., derivation) or provide conditions for use. An agent would have to infer that this is for representing derived requirements, which is not explicitly stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'Add a text note to a diagram' and 'Phase B stub.' It does not describe side effects, requirements, return behavior, or any constraints. The 'stub' hint is about implementation status, not tool behavior. This is essentially a restatement of the name with no added behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short (one sentence) and lacks any structure such as bullet points or sections. While conciseness is good, this is under-specification rather than efficient writing. The 'Phase B stub' adds little useful structure. It is not verbose, but it fails to convey essential information in an organized way.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 4 parameters, 2 required, and an output schema, the description is severely incomplete. It does not explain what a text note is, how it is placed on a diagram, what the output represents, or any constraints. With no annotations to supplement, the description leaves the agent with insufficient context to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate by explaining parameter meaning. It does not mention diagram_id, text, x, or y at all. The description adds zero value beyond the schema's property names and types. Given the complete lack of parameter guidance, this score is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: adding a text note to a diagram. It uses a specific verb and resource, and distinguishes itself from siblings like add_symbol (which adds symbols) and create_element. However, it lacks any detail about what a 'text note' entails or how it differs from other annotation tools, so it is not a perfect 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. No mention of prerequisites, scenarios, or exclusions. The description simply states what it does, leaving the agent to infer when it is appropriate. This is a significant gap for a tool with many siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the full burden. It discloses that this is a 'Phase B stub', which signals that the tool may be incomplete or non-functional, but it does not describe any actual behavior, side effects, permissions, or failure modes when invoked. This is a minimal level of transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short, which could be seen as concise, but it is under-specified. It does not front-load any critical information beyond the basic purpose. The 'Phase B stub' is important but placed at the end. The brevity is not a virtue here because it omits essential details.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with two required parameters and no annotations, the description is grossly incomplete. It provides no information on how to use the tool, what inputs are expected, what the output schema contains, or any error conditions. The 'Phase B stub' label suggests it is not production-ready, but that is not sufficient for an agent to correctly invoke it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not mention the parameters at all. The parameters 'diagram_id' and 'relationship_id' have no semantic explanation beyond their names, which are not self-explanatory in context. The description adds zero value to parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: 'Add a relationship path to a diagram.' It uses a specific verb and resource, and the phrase 'relationship path' is sufficiently distinct from generic actions. However, it does not differentiate from siblings like 'route_path', which may have overlapping functionality, so it loses one point.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. The description is a single sentence with no context about prerequisites, intended use cases, or exclusions. The 'Phase B stub' note implies it may not be ready, but no direction is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden. It only states that a dependency is created, with no disclosure of side effects (e.g., whether an existing refine dependency is replaced), error conditions, or validation behavior. The write nature is implied but not elaborated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, compact sentence with no wasted words. It is efficiently structured and front-loads the primary action and resource.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite being a simple tool, the description omits key contextual details such as expected behavior when IDs are invalid, whether the operation is idempotent, or what the output schema contains. With no annotations and a sparse description, an agent may not know how to handle failures or confirm success. The tool's simplicity partially mitigates this, but the lack of behavioral or error information leaves it incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not add meaning beyond the parameter names. 'From source to target' merely echoes source_id and target_id without specifying ID formats, validity, or relationship constraints. The description fails to compensate for the lack of schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (Create), a resource (SysML Refine dependency), and the scope (from source to target). This clearly distinguishes it from sibling tools like add_satisfy, add_verify, or add_dependency, which create different relationship types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives such as add_derive or add_dependency. The purpose implies its use, but there is no explicit context, exclusions, or mention of alternative tools, leaving the agent to infer.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description must carry the full burden of behavioral disclosure. It only says 'Create', implying a mutation, but does not mention side effects, failure conditions, permissions, or what happens if elements are invalid or a relationship already exists. For a mutation tool, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the core action ('Create a Satisfy relationship') and immediately clarifies the direction. There is no redundant information or filler; every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter create operation, the description provides the essential purpose and parameter roles. It does not mention return values, but an output schema exists. However, it lacks usage context (when to use vs. siblings) and behavioral details (failure modes), which are important given the large set of similar relationship tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only parameter names with no descriptions. The description adds directional meaning by specifying that satisfying_element_id is the source and requirement_id is the target. However, it does not explain the semantic nature of a Satisfy relationship or any constraints on the parameter values, so it only partially compensates for the 0% schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action: creating a Satisfy relationship, and clarifies direction (from satisfying element to requirement). This clearly distinguishes it from sibling tools like add_verify or add_derive, which target different relationship types. The verb and resource are unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives like add_verify, add_derive, or add_refine. It does not mention prerequisites, such as whether both elements must exist or be of specific types. An agent cannot decide between this and similar relationship-adding tools without further context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries the full burden. It only states that a symbol is added, which is a mutation, but it does not disclose side effects, prerequisites (e.g., diagram must exist, element must exist), reversibility, or error conditions. The 'Phase B stub' hint suggests incompleteness but does not explain expected behavior or limitations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short, but this is under-specification rather than conciseness. It lacks any structure or emphasis on key information. The 'Phase B stub' is tacked on without explanation. There is no front-loading of important constraints or usage context. A concise description would still convey essential details in a few sentences; this one conveys almost nothing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (two required parameters, many sibling tools), the description is incomplete. It does not explain what an element symbol is, how it relates to diagrams, or what the output schema contains. Since an output schema exists, the return value may be documented there, but the description still fails to provide necessary context for an agent to decide whether this tool is appropriate and what to expect. The 'Phase B stub' further signals incompleteness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not mention either parameter. It only says 'add an element symbol to a diagram' without explaining what diagram_id and element_id represent. The description adds no meaning beyond the parameter names in the schema, leaving the agent to infer that diagram_id identifies the target diagram and element_id identifies the element whose symbol is added. This is insufficient.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: adding an element symbol to a diagram. It uses a specific verb and resource, and it distinguishes from siblings like remove_symbol, move_symbol, and resize_symbol. However, it does not elaborate on what an element symbol is or how it differs from creating an element (e.g., create_block), and the 'Phase B stub' qualifier introduces ambiguity about its current functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. It does not mention that it is for adding symbols to diagrams rather than creating elements, nor does it reference any sibling tools. The 'Phase B stub' note implies it may not be ready for production use, but this is not framed as usage guidance. No when-to-use or when-not-to-use conditions are provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It only states that it creates a Trace dependency, implying a write operation, but does not disclose side effects (e.g., whether it overwrites existing traces), required permissions, reversibility, or validation behavior. For a mutation tool, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with no wasted words. It front-loads the action and resource, making it instantly scannable. It is appropriately concise for a simple create operation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema (not shown), the description does not mention return values, success/failure behavior, or prerequisites like element existence. For a mutation tool with no annotations, this is incomplete. An agent cannot anticipate what happens if the source or target is invalid, or whether the operation is idempotent. The description is minimal and does not cover these contextual needs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It says 'from source to target', which maps source_id to source and target_id to target, but this only restates the parameter names. It does not explain what these IDs refer to (e.g., element UUIDs), how to obtain them, or any constraints. Minimal added value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Create') and the specific resource ('UML Trace dependency') with direction (from source to target) and mentions StandardProfile. This distinguishes it from sibling tools like add_dependency or add_satisfy, which create different relationship types. An agent can infer exactly what this tool does without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage: when you want to create a Trace dependency. However, it does not explicitly mention when to prefer this over alternatives like add_dependency or add_derive. There is no 'use this for X, use that for Y' guidance, leaving some inference required. This is adequate but not explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility for behavioral disclosure. It only states the creation action, implying a mutation, but provides no information about side effects, error conditions, reversibility, or required permissions. For a mutation tool with zero annotation coverage, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, tightly worded sentence with no wasted words. It front-loads the core action and object, achieving maximum conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema (not shown), the description is incomplete for a tool with two required parameters and many similar siblings. It lacks any guidance on element prerequisites, duplicate relationship behavior, or error handling, and does not address the ambiguity of which verifying/requirement types are applicable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'verifying element' and 'requirement', which map to the parameter names, but adds no detail about expected formats, whether IDs must reference existing elements, or any constraints. It barely goes beyond the schema's property titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create'), the resource ('Verify relationship'), and the direction ('from a verifying element to a requirement'). It distinguishes this tool from sibling add_* tools by specifying the relationship type, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus the many similar add_* siblings (add_satisfy, add_derive, add_refine, etc.). It does not mention alternatives, prerequisites, or conditions that would select this tool over others, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Apply' implies a mutation to the diagram's layout, but the description does not mention reversibility, side effects, prerequisites, or what happens to existing layout elements. For a mutation tool with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, direct sentence with no filler. The action and object are front-loaded. Every word contributes to clarity. This is appropriately concise for a simple operation.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has an output schema (not shown) but the description says nothing about return values or errors. It also omits any mention of prerequisites, such as needing to call list_layout_styles first to know available styles. For a mutation tool, this is incomplete: an agent is left without guidance on what to expect after invoking it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It introduces 'named layout style' and 'diagram', which loosely map to the style and diagram_id parameters, but it does not explain what a valid style value is, where to obtain it (e.g., from list_layout_styles), or any format constraints. The description adds minimal semantic value beyond the parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (apply), the resource (a named layout style), and the target (a diagram). It distinguishes from siblings like auto_layout_diagram, which presumably applies automatic layout, and list_layout_styles, which lists available styles. The verb and resource are specific enough to convey the tool's core purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for applying a specific named style, contrasting with automatic layout, but does not explicitly state when to use it versus alternatives. It offers no exclusions or conditions. The context of sibling tools (list_layout_styles, auto_layout_diagram) suggests a workflow, but the description itself provides no guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the behavioral burden. It only states the action without disclosing side effects, idempotency, error conditions, or whether it replaces existing stereotypes. For a mutation tool, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single, front-loaded sentence with no wasted words. Efficiently communicates the core action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simplicity, the description is minimal but lacks important context such as whether the operation is idempotent, whether it fails on invalid input, and any usage constraints. The output schema is present but its contents are unknown, and the description does not mention return behavior. Incomplete for a mutation tool with no annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description only clarifies stereotype_qn as a qualified name. It does not explain element_id, its format, or how to obtain it. The description adds minimal meaning beyond the parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (apply) and resource (stereotype to an element) and identifies the stereotype by qualified name. Clearly distinguishes from remove_stereotype and other set_* tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool vs alternatives. Does not mention that remove_stereotype exists for removing, or any prerequisites such as the element existing or stereotype being applicable. The agent must infer usage from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It only states the action without mentioning side effects (e.g., whether the diagram is modified in place, whether the operation is reversible, or what happens to existing symbol positions). This is insufficient for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It is appropriately front-loaded and directly conveys the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the existence of sibling tools like 'apply_custom_layout' and 'compare_layout_styles', the description lacks context on how automatic layout differs or when it should be used. With no output schema details visible and minimal parameter explanation, an agent may not fully understand the tool's scope and impact.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not explain the 'diagram_id' parameter beyond its name, leaving the agent to infer its format or how to obtain it. The description adds no semantic value beyond what the schema already provides (a string ID).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (apply) and resource (automatic layout to a diagram). It is specific enough to distinguish from unrelated tools, but it does not differentiate from the sibling 'apply_custom_layout' or mention which automatic layout style is used, leaving ambiguity.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives like 'apply_custom_layout' or 'list_layout_styles'. The description does not specify conditions, prerequisites, or situations where automatic layout is preferred over custom layout.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses the key atomicity behavior: write operations are committed when commit_batch fires. This is valuable context beyond a simple 'open' statement. However, it does not mention other behavioral aspects such as whether batches can be nested, what happens on abort, or any limitations (e.g., timeout or size caps). With no annotations, the description carries the full burden and only partially addresses it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no fluff. The primary purpose is front-loaded, followed by a single key behavioral detail about atomic commit. Every word earns its place, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there are no parameters and an output schema exists, the description covers the essential behavior of opening a batch and its atomic commit semantics. However, it does not explicitly clarify the relationship with sibling tools like abort_batch (which discards) or whether multiple batches can coexist, which could be important for correct usage. It is adequate but not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters and the schema coverage is 100% (there is nothing to document). Per the rubric, the baseline is 4 since the description doesn't need to explain parameters. It adds no parameter details because none exist.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool opens a batch session, specifying a specific verb and resource. It is distinct from sibling batch tools like commit_batch and abort_batch, though it doesn't explicitly name them. The purpose is unambiguous and easily understood by an agent.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention that it should be called before write operations to enable batching, nor does it state cases where batching is unnecessary or disallowed. The usage context is left entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full behavioral burden. It discloses that the output includes both scoped coverage and model-wide coverage, and explains the denominator logic and the legacy behavior of the 'all' scope. It doesn't mention side effects (none expected for a read operation) but adequately describes the behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise, front-loaded with the core purpose, and uses a bullet list to explain the parameter without wasted words. Each sentence adds value, and the structure is easy to scan.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description explains the output fields (coverage and coverageModelWide) and the parameter options, which is sufficient for an agent to call it correctly. The presence of an output schema covers the exact return structure, and the description adds the meaningful semantic details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero description coverage for the 'scope' parameter, so the description fully compensates. It defines the parameter's meaning (controls the denominator), lists the two valid values with explicit effects, and explains the default. This is comprehensive.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns the fraction of named elements with documentation set, using a specific verb and resource. It distinguishes itself from siblings like check_requirement_coverage (requirements vs documentation) and get_model_metrics (general metrics) by specifying its exact metric.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains the scope parameter choices and the rationale for the default ('authored' avoids the ~25% ceiling), which guides when to use which scope. However, it does not explicitly contrast with alternatives like check_requirement_coverage or get_model_metrics, so the guidance is limited to the scope parameter.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must carry the full behavioral disclosure. It explains the default scope (authored) and the suppression of library internals, which is useful. It implies a read-only operation ('Return elements') but does not explicitly state that it makes no modifications or disclose any other side effects. Since it is a check tool, the read-only nature is reasonably inferred, but a more explicit statement would strengthen transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with a clear opening sentence and bulleted parameter explanations. It is appropriately sized—long enough to convey important defaults and pattern syntax but not padded. The most critical information (scope and its default) is front-loaded. Minor redundancy exists (e.g., re-explaining 'authored' default), but overall it is efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has an output schema, the description need not explain return values. It covers the two parameters thoroughly and the behavioral context of suppression. The only gap is the lack of explicit usage guidance relative to sibling check tools, but the description is otherwise complete for an agent to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only names and defaults (coverage 0%), so the description fully compensates. It explains the meaning of 'scope' with two enumerated values (authored vs all) and the exact suppression behavior, and it describes 'allowed_patterns' as a comma-separated regex list with concrete examples. This goes well beyond the schema and gives the agent everything needed to set parameters correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: returning elements that violate UML naming conventions. It uses a specific verb ('return') and resource ('elements') and distinguishes from general validation tools like validate_model by focusing on naming. However, it does not explicitly name sibling alternatives or state what it is not, so it doesn't fully differentiate within the family of check tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides detailed guidance on how to use the parameters (scope and allowed_patterns) with defaults and examples, which helps the agent invoke it correctly. But it does not explicitly state when to use this tool versus sibling validation tools (e.g., check_requirement_coverage, validate_model) or when not to use it, leaving the decision to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses the output fields (tracedCoverage, orphans, legacy fields) and explains the scope semantics, giving a transparent view of behavior. It does not explicitly state that the tool is read-only, but the nature of returning statistics implies no mutation, which is acceptable for this context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and front-loaded with the purpose. It uses a list to explain scope options and a clear separation for new vs legacy fields, with no wasted words. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with a single parameter, and the description covers the scope semantics and the output fields. Since an output schema exists, detailed return documentation is not required. The description is complete for an agent to call this tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, meaning the schema provides no description for the 'scope' parameter. The description fully compensates by explaining the two valid values, their meanings, and the default, making parameter semantics crystal clear.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Return') and resource ('coverage statistics for requirements'), clearly distinguishing it from sibling tools like check_documentation_coverage. It also explains the purpose of the scope parameter, leaving no ambiguity about what the tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context on how to use the tool via the scope parameter, explaining the two modes ('authored' vs 'all') and noting that 'all' is legacy behavior. It doesn't explicitly mention alternatives or when not to use this tool, but the purpose is distinct enough among siblings that guidance is implied.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It states the action but does not reveal that it is a finalizing/destructive operation, whether it is reversible, or what happens to the batch session after commit. No permissions or side effects are mentioned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no redundant words, front-loading the core action. It is appropriately sized for a simple tool, though it could add more context without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with no annotations and an output schema, the description is insufficient. It omits prerequisites (e.g., an active batch session), behavior when no operations are queued, return value semantics, and does not contrast with abort_batch. An agent cannot safely call this without additional knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, and the description only refers to 'given batch session' without defining batch_id semantics. It does not clarify that batch_id is the identifier returned by begin_batch, nor does it specify format, validity, or required state. The description adds minimal meaning beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Commit') on a specific resource ('all queued operations in the given batch session'). It is immediately distinguishable from sibling tools like abort_batch and begin_batch, as it names the finalizing operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies that it is used after queuing operations but does not explicitly state when to use it versus abort_batch or begin_batch. It lacks any exclusions or mention of prerequisites like an active batch session, leaving the agent to infer the appropriate context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It implies a read-only comparison but doesn't state that explicitly, nor does it mention side effects, return format, or whether it modifies anything. This is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no filler. It is front-loaded with the key action and object. No redundancy or unnecessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although an output schema exists, the description doesn't mention what the comparison results look like or any prerequisites (e.g., whether the diagram must exist, whether the layout styles are pre-defined). The tool is simple, but the description leaves important details about behavior and output to inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero coverage for the single parameter diagram_id, and the description only mentions 'a diagram' without explaining the parameter's meaning or constraints. The parameter name is self-explanatory, but the description adds no value beyond the schema. A description should compensate for the lack of schema docs, but it doesn't.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('compare') and resource ('auto-layout styles' affecting a diagram). It is distinct from siblings like auto_layout_diagram and list_layout_styles, though it doesn't specify what aspect of the styles is compared (e.g., visual, metrics). This is adequate but not maximally precise.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. It doesn't mention that it should be used for previewing before applying a layout, or contrast it with auto_layout_diagram or list_layout_styles. The agent is left to infer context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention side effects, validation, failure modes, or whether the operation is reversible. The only behavioral hint is the word 'Create' implying a mutation, but nothing else.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence plus a list, with no filler. It front-loads the core action and includes useful enum information. It could be slightly more structured by explicitly labeling parameters, but it is appropriately concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create operation with three parameters and no annotations, the description is too thin. It does not explain prerequisites (e.g., activity existence), what happens on invalid action_type, or any constraints. The output schema exists but does not compensate for the lack of behavioral and usage context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does explain action_type by listing its possible values (OpaqueAction, CallBehaviorAction, SendSignalAction), but it leaves name and activity_id completely undefined. While these may be inferable from context, the description does not explicitly map them, leaving a significant gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: 'Create an Action inside an Activity.' It specifies a verb and resource, and even lists possible action_type values, making the purpose unambiguous. However, it does not explicitly differentiate from other create_* tools like create_element, which could be ambiguous without additional context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. It does not mention prerequisites (e.g., that the activity must exist), nor does it exclude use cases. The description is purely declarative and offers no decision support.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It implies a mutation but does not disclose side effects, failure behavior, or whether the parent must exist. It adds no behavioral detail beyond the obvious create operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. It is concise, though it sacrifices necessary detail for brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity, an output schema likely describes the return value, but the description still misses key usage context: parent type constraints, required name conventions, and how it differs from many similar create tools. It is inadequate for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must explain parameters. It mentions parent_id as the owner but does not describe what kind of parent is expected or what the name parameter is for. The name parameter is entirely undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (create) and the resource (UML Activity), and specifies ownership via parent_id. This distinguishes it from sibling tools like create_action or create_state_machine.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool vs. other create_* siblings. It does not mention prerequisites, when not to use it, or alternatives. The agent is left to infer from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must disclose behavioral traits. It only states that an Actor is created under a parent, but does not mention side effects, validation requirements (e.g., parent must exist), error handling, or permissions. The description is too thin for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no extraneous content. It is efficient and front-loaded with the key action, though it could be slightly more informative without sacrificing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create operation with two required parameters and no annotations, the description is incomplete. It does not specify whether parent_id must exist, what happens on failure, or what the output contains (though an output schema exists, its contents are not described). An agent would lack critical context for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds only that the element is created 'under parent_id', implying parent_id is the parent element, but does not explain name semantics (e.g., uniqueness, format) or any constraints on parent_id. Minimal value added beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (Create), the resource (Actor element), and the context (under parent_id). It distinguishes itself from sibling create_* tools by specifying 'Actor' as the element type, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for creating an Actor element specifically, but it does not explicitly say when to use this tool versus alternatives like create_element or other create_* tools. Given the many sibling create_* tools, some explicit guidance would help, but the element type provides enough implicit context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It only states that it creates a relationship, but does not mention side effects, validation, return behavior, or whether it modifies the model permanently. The agent gets no insight into potential failure modes or constraints beyond the basic operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no redundancy. It front-loads the core purpose. However, it is almost too sparse, leaving out useful context, but for a simple tool this brevity is acceptable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (3 parameters, no enums, output schema present), the description is insufficient. It does not explain which source and target elements are valid, whether the relationship has constraints, or how it integrates with the broader SysML modeling workflow. The description leaves too much to inference for an agent to use it reliably.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'from source to target' which loosely maps to source_id and target_id, but it does not explain the name parameter or clarify the expected types or formats of the IDs. The description adds minimal value over the schema titles.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates a SysML Allocation relationship from source to target, which is specific and distinguishes it from other create_* tools by naming the relationship type. It does not explicitly contrast with siblings like add_dependency or create_generalization, but the purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. It simply states what it does without context about which elements can be allocated or when an allocation is appropriate, leaving the agent to infer usage from the name and schema.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Create', which implies mutation, but it does not explain side effects such as model modification, where the association is created, whether existing relationships are affected, or any requirements like ownership.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no fluff, which is structurally efficient. However, it is under-specified for an operation with four parameters and no parameter documentation, so brevity comes at the cost of usefulness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with four parameters, no annotations, and zero parameter documentation, the description is too thin. While an output schema exists and return values need not be explained, the missing details about parent_id, source_id, target_id, and name leave the description incomplete for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not explain any of the four parameters. The phrase 'between two classifiers' hints that source_id and target_id refer to classifiers, but parent_id and name are entirely unexplained, leaving the agent to guess their meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Create a UML Association between two classifiers' uses a specific verb and resource and identifies the kind of relationship being created. It is clear enough to distinguish from many sibling tools like create_generalization or add_dependency, though it does not explicitly distinguish itself from create_association_block.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives such as create_association_block, create_connector, or add_dependency. It states what the tool does but gives no context about when this specific relationship type should be chosen.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states the action without mentioning side effects, required permissions, reversibility, or return format. For a mutation tool, this is a significant gap that leaves the agent uncertain about consequences.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that front-loads the purpose without extraneous detail. It is appropriately concise, though it could be slightly more informative without sacrificing brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with four parameters and an output schema, the description is incomplete. It lacks context on when to use it, what the parameters represent, and what the tool returns. The output schema may cover return format, but the description does not mention any operational constraints or typical usage patterns.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate by explaining parameters. It does not mention any of the four parameters (name, parent_id, source_id, target_id) or their roles. While the names are somewhat self-explanatory, the description adds no meaning beyond the schema, leaving the agent without guidance on required inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create') and the specific resource ('SysML Association Block'), and clarifies the concept as 'AssociationClass + Block stereotype'. This precisely distinguishes it from sibling tools like create_association and create_block, which target different SysML constructs.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. It does not mention scenarios where create_association or create_block would be more appropriate, nor any prerequisites or contextual constraints. The agent must infer usage from the name and description alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the creation action without mentioning side effects, reversibility, required permissions, or any impact on existing model elements. For a mutation tool, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no redundancy. Every word contributes to identifying the action and resource, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having an output schema, the description does not cover essential context such as what parent_id refers to, how the connector is placed in the model hierarchy, or what the return value contains. For a creation tool with four parameters, the description is too minimal to be considered complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must compensate. It adds meaning for source_id and target_id by indicating they are 'properties/ports', but it does not explain parent_id or the optional name parameter. This partial clarification helps but leaves gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Create', the resource 'BindingConnector', and clarifies it as a 'SysML equal-value constraint' between two properties/ports. This distinctly identifies the tool's function and differentiates it from the generic create_connector sibling, which likely handles other connector types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for binding connectors specifically, but it does not explicitly state when to use this tool versus alternatives like create_connector or set_connection_ends. No direct comparison or exclusion is provided, leaving selection to inference from the name and description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It only says 'Create', implying a mutation, but does not disclose side effects, required parent existence, error behavior, or reversibility. For a write operation with zero annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is structurally efficient and front-loaded. However, it is under-specified, so while conciseness is achieved, it sacrifices necessary content. It is not the concise-but-complete ideal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with two parameters and has an output schema, so return values are covered. But it omits crucial context: whether parent_id must exist, what happens on duplicate names, validation rules, or any side effects. Given no annotations, the description is incomplete for an agent to call correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so both parameters (name, parent_id) are entirely undocumented in the schema. The description adds no meaning beyond the parameter names—it doesn't clarify what parent_id refers to, any format constraints, or relationships. The description fails to compensate for the schema's lack of detail.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Create') and resource ('SysML v1 Block') with a location constraint ('under parent_id'). It is clear about what it does and can be distinguished from many sibling create_* tools by the element type, though it doesn't explicitly contrast with similar tools like create_interface_block.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. There are numerous create_* siblings, and the description provides no criteria for selection, no prerequisites, and no exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the creation action, but does not mention side effects, required permissions, reversibility, or what happens if the Interaction does not exist. The presence of an output schema partially covers return values, but the mutation behavior is underexplained.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that immediately states the action and includes the key constraint (operator values). It is concise with no wasted words, achieving high efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is relatively simple (3 required parameters), but the description lacks context on the meaning of interaction_id and name, and does not mention any prerequisites (e.g., the Interaction must exist). The output schema covers return values, but the description is not fully self-contained for an agent to call it correctly without additional inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds value by listing valid operator values ('alt | opt | loop | break | par | seq | strict | neg'), which is not in the schema. However, it provides no meaning for interaction_id or name, leaving those parameters underspecified. Partial compensation, but incomplete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create a CombinedFragment') and the context ('in an Interaction'), which distinguishes it from other create_* tools for different UML elements. It also lists allowed operator values, reinforcing the specific purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives. It implies usage for creating a CombinedFragment, but lacks guidance on prerequisites (e.g., an existing Interaction) or when other create tools would be more appropriate. Given the large sibling set, explicit routing would improve the score.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description bears full responsibility for disclosing behavioral traits. It only states the creation action without any details about side effects, required permissions, reversibility, or what happens to the existing model. For a mutation tool, this is a critical gap – the agent cannot anticipate the impact of calling it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler. It efficiently communicates the core action and the object types involved. It earns full marks for conciseness, though this efficiency comes at the cost of completeness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 4 parameters (3 required), no annotations, and an output schema that is not described, the description is far too minimal. It does not explain the parent-child relationship, any constraints on source and target, or the expected return value. An agent would lack essential information to invoke this tool correctly and predict its effects.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain the parameters. It hints that source_id and target_id are the two ConnectableElements, but it does not clarify the role of parent_id or the name parameter. The description adds only marginal meaning over the schema field names, leaving the agent to infer the parent relationship.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (create), the resource (UML Connector), and the participants (ConnectableElements such as ports and properties). It is specific enough to distinguish from generic create_element, though it does not explicitly differentiate from other connector-creating siblings like create_association or create_binding_connector.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives. It does not mention conditions, exclusions, or scenarios where a different creation tool would be appropriate. The intended use case is only implied by the phrase 'between two ConnectableElements', which is not sufficient for an agent to choose confidently among many sibling create tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Create', which implies a mutation, but gives no details about side effects, requirements on parent_id, idempotency, or any post-conditions. For a creation tool, one would expect at least a note that a new element is added to the model and what happens if the parent is invalid. This is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no wasted words. It front-loads the core action ('Create a SysML ConstraintBlock') and includes the key contextual detail (parent_id). It is perfectly sized for the information it conveys.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple creation tool with two parameters, the description is minimal but lacks context about prerequisites, such as whether parent_id must reference a valid container, or how this fits into the broader model hierarchy. It also provides no usage guidance relative to the many sibling tools. While the output schema exists (so return values are covered), the description alone leaves an agent uncertain about when and how to call it correctly. More context is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does clarify that parent_id is the parent under which the ConstraintBlock is created, which gives semantic meaning to that parameter. However, it does not explain what type of element parent_id should be (e.g., a Package or Block) or any constraints on the name. The name parameter is self-explanatory. The description adds minimal value beyond the schema, so a 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Create') and a specific resource ('SysML ConstraintBlock') and mentions the parent context ('under parent_id'). It is clear and not a tautology, though it does not explicitly differentiate from sibling create tools like create_block or create_interface_block. The resource name itself provides some distinction, so this is a solid 4.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus the many other creation tools in the sibling list. No alternatives are mentioned, and no conditions or prerequisites are stated. The agent must infer usage solely from the name and description, which is inadequate for a suite with dozens of creation tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states that a ConstraintProperty is created; it does not mention prerequisites, side effects, ownership semantics, error conditions, or whether the operation is reversible.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler or redundancy. It is efficient, though it could have used the available space to include more parameter or usage context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With three required parameters, no annotations, and zero schema descriptions, the description is too thin to fully equip an agent to call the tool correctly. The presence of an output schema helps with return values, but not with required parameter semantics or behavioral expectations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the description adds little parameter detail. 'Typed by a ConstraintBlock' hints at constraint_block_id's role, but parent_id and name are left entirely to inference.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb and resource: 'Create a ConstraintProperty typed by a ConstraintBlock.' This clearly identifies both what is created and its type, distinguishing it from sibling tools like create_value_property or create_part_property.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance about when to use this tool versus alternatives. The only signal is the resource type, which lets an agent infer a use case but does not state when not to use it or which sibling tool to prefer in other situations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It only says 'Create' without mentioning side effects, validation requirements, or return behavior. An agent cannot anticipate failure modes or the result of the operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no extraneous words. It communicates the core action efficiently, though this conciseness sacrifices detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with three required parameters and no annotations, the description is far too sparse. It omits parameter semantics, usage context, and any behavioral details, making it inadequate for an agent to call correctly without opening the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, and the description fails to explain the parameters. It mentions 'between two ActivityNodes' but doesn't map source_id/target_id to those nodes or clarify activity_id's role. The parameter names alone are insufficient for correct invocation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Create', the resource 'ControlFlow edge', and the context 'between two ActivityNodes within an Activity'. This distinguishes it from siblings like create_object_flow or create_connector, making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description implies activity diagram usage but offers no explicit conditions or exclusions, leaving the agent to infer selection criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'Create' without revealing whether the operation is reversible, what permissions are required, or what happens on invalid parent IDs. The description provides no behavioral details beyond the action itself.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that front-loads the core action and immediately lists the allowed kinds. No filler or redundant phrasing; every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a create operation with three parameters and no annotations, the description is sparse. It does not explain the expected structure of 'parent_id', the return value (even though an output schema exists, it is not described), or any constraints on the diagram kind or parent. Given the tool's simplicity, more context on the parent relationship and valid kinds would be needed for confident invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description lists the valid values for the 'kind' parameter, which adds meaning beyond the schema (which has no descriptions for any parameter). However, it does not explain 'parent_id' or 'name', leaving them to inference. Since schema coverage is 0%, this partial compensation is helpful but insufficient for full parameter understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific action ('Create a SysML diagram') and lists the accepted diagram kinds (BDD, IBD, etc.), which clearly identifies the resource and distinguishes it from element-creation siblings like create_block or create_use_case. An agent can immediately know this tool is for diagrams, not other model elements.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is for creating new diagrams, but it does not specify when to use it versus alternatives, nor does it mention prerequisites such as the parent_id needing to be a package or model. No exclusions are given, leaving the usage context vague.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the full burden of behavioral disclosure. It states the action (create) and lists valid types, but does not mention side effects, validation rules, error behavior, permissions, or reversibility. The type list adds some context but not behavioral transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with the purpose front-loaded and the type list appended. It is concise and avoids redundancy, though the long type list could be seen as clutter better placed in the schema. Overall, it is appropriately sized.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the existence of many specialized creation tools, a generic creator should explain when it is appropriate to use. The description omits this entirely, leaving the agent without sufficient context to choose correctly. The output schema exists, so return format is covered, but the core decision context is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It lists valid values for element_type, which adds meaning for that parameter. However, parent_id and name are not elaborated beyond their names, which are self-explanatory but lack format or constraints. The description provides partial compensation for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb and resource: 'Create a SysML v1 element of the given type under parent_id.' It also enumerates valid element types, giving a concrete sense of scope. However, it does not explicitly differentiate from the many specialized sibling creators (e.g., create_block, create_part_property), so an agent may not know this is the generic fallback.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this generic creator versus the specialized creators that exist as siblings. The description offers no conditions, exclusions, or comparisons to alternatives, leaving the choice entirely to the agent's inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden. It only states that it creates an enumeration, but does not disclose any behavioral traits such as side effects, prerequisites (e.g., does parent_id need to exist?), validation rules for literals, or whether the operation is reversible. This is a significant gap for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, well-formed sentence with no unnecessary words. It is front-loaded with the action and resource, and every phrase adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although an output schema exists (so return format is covered), the description is too thin for a creation operation. It does not address what happens on invalid parent_id, whether literals have format constraints, or any side effects on the model. With no annotations and minimal description, an agent lacks critical context to invoke this safely.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'literal names' (covering literals) and 'under parent_id' (covering parent_id), but does not explicitly explain the 'name' parameter (the enumeration's own name). Since two of three parameters are only implicitly referenced, the description adds some meaning but leaves the name ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb (Create), resource (Enumeration), and the context (under parent_id). It distinguishes this tool from the many other create_* siblings by naming the specific resource type, so an agent can tell it apart without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: use this when you need to create an enumeration. However, it does not explicitly state when not to use it or mention any alternatives. Given the large sibling list, explicit guidance would help, but the purpose is clear enough to infer the appropriate context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It only states the action but doesn't disclose side effects, validation requirements (e.g., parent must be a Block), reversibility, or permissions. For a creation tool, this is minimal disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no filler. It earns its place by stating the core purpose, though it could be more informative without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations, output schema details, and parameter explanations, the description is inadequate for an agent to understand prerequisites, expected behavior, or potential errors. The tool is simple but still needs more context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 0% description coverage, and the description adds no parameter explanations. The names 'name' and 'parent_id' are self-explanatory to a degree, but no constraints or meaning beyond the names are provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it creates a SysML FlowPort on a Block, specifying the verb, resource, and target. It distinguishes from other port creation tools by name, though it doesn't explicitly contrast with siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus other port creation tools (e.g., create_proxy_port, create_full_port). No context about prerequisites or when a FlowPort is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carrries the full disclosure burden. It communicates that the tool creates a FlowProperty and allows three direction values, but it omits prerequisites, parent relationship behavior, and any side effects, which is a gap for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one tight sentence plus a short value list. It front-loads the action and adds no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Although the tool is simple, the description leaves parent_id semantics unexplained and gives no usage context or alternatives. The output schema might document the return value, but the description still does not set expectations for the parent element or how this fits into SysML modeling.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, so the description must compensate. It adds meaning to 'direction' by specifying in/out/inout, but it does not explain what parent_id refers to or any constraints on name. Most parameters remain opaque.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific verb ('Create') and resource ('SysML FlowProperty'), and lists the legal direction values. This differentiates it from nearby siblings like create_flow_port and create_flow_specification by naming the exact element type.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use guidance, nor any mention of alternatives. The intended usage is implied by the resource name, but the agent receives no help choosing between this and related flow/element creation tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that it creates a FlowSpecification, but does not describe side effects (e.g., where the element is added, whether it inherits from a parent, how stereotypes are applied), permissions, or return behavior. This is insufficient for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, short sentence with no fluff, which is concise. However, it is too brief to be effective; it lacks critical details about parameters, usage, and behavior. It is under-specified rather than appropriately concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's purpose (creating a SysML element) and the presence of many sibling creation tools, the description is incomplete. It does not explain what a FlowSpecification is, how it relates to stereotypes, or what the parameters mean. The output schema exists but is not detailed here, so the description should provide more context. This is inadequate for an agent to call the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not mention the parameters 'parent_id' or 'name' at all. It provides no meaning beyond the parameter names themselves, leaving the agent to infer what 'parent_id' refers to or how 'name' is used.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Create' and the resource 'SysML FlowSpecification', and adds clarification that it is an Interface with a FlowSpecification stereotype. This distinguishes it from similar tools like create_interface_block or create_flow_port, though it could be more explicit about when to use it over those alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus siblings. The description does not mention prerequisites, alternative tools, or specific scenarios. An agent would not know if this is the right tool for a given task compared to create_interface_block or apply_stereotype.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It only states the action without disclosing side effects, mutation implications, or requirements like whether parent_id must reference an existing block. This is insufficient for a model-mutating operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence, which is appropriately front-loaded with the core purpose. However, it is under-specified to the point of being unhelpful; conciseness is achieved at the expense of essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with two required parameters and an output schema, the description should at least clarify the role of each parameter and any contextual constraints. It does none of this, leaving the agent to guess about the parent block relationship and return behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no explanation of 'name' or 'parent_id'. An agent cannot infer that parent_id is the block's identifier or what naming constraints apply. The description adds zero value beyond the schema field names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb (Create), the resource (SysML FullPort), and the target (a Block). It distinguishes from other port creation tools by naming the specific port type, though it doesn't explicitly contrast with create_proxy_port or create_flow_port.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus the many sibling creation tools. It doesn't mention alternatives, prerequisites (e.g., parent block must exist), or any exclusions. The agent is left to infer when a FullPort is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that a generalization is created, but does not mention side effects, required element types, validation, reversibility, or any error conditions. For a mutation tool this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence, which is efficient, but it omits essential context. The structure is front-loaded with the main purpose, but the brevity works against completeness—it could be slightly expanded to include parameter clarifications without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (creating a relationship between two classifiers) and the lack of annotations or schema descriptions, the description is inadequate. An output schema exists, which may document the return value, but the description does not cover usage context, prerequisites, or error handling, leaving critical gaps for an agent to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, and the description does not explain what specific_id and general_id represent beyond the schema titles. It does not clarify that these are element IDs, their required types, or any constraints, so it adds no meaning over the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb (create) and resource (UML Generalization) and specifies the direction from specific to general. It is distinguishable from other create_* tools by naming the relationship type, though it does not explicitly contrast with sibling tools like create_dependency.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as create_association or create_dependency. There are no mentions of prerequisites, exclusions, or typical scenarios, leaving the agent to infer usage from the tool name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are absent, so the description carries the full burden for behavioral disclosure. It only says 'create', implying mutation, but provides no details about side effects, required permissions, reversibility, or what the response will look like. For a create operation this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no filler or redundancy. It front-loads the verb and resource, and the parenthetical adds clarity without extra words. However, it is under-specified, which hurts overall usefulness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that there is no annotation coverage and the schema provides no parameter descriptions, the description is far too minimal. It does not explain the meaning of 'parent_id', the expected structure of an Interaction, or any return value. An output schema exists but is not visible here, so the description must carry more weight.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not mention the 'name' or 'parent_id' parameters at all. An agent has no idea what values to supply or what the parameters represent, making correct invocation highly unlikely without external knowledge.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool creates a UML Interaction and adds a helpful parenthetical explaining it as a container for sequence diagram content. This distinguishes it from other create_* tools (e.g., create_block) but does not explicitly compare to similar sequence diagram elements like create_combined_fragment or create_lifeline.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. The description only states what it does, not the context or conditions under which an agent should choose it over other create_* tools. There is no mention of prerequisites or typical use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a mutation (create) but does not mention side effects, prerequisites, or failure conditions. There is no information about whether the operation overwrites existing elements or validates the parent's existence.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no wasted words, and it front-loads the action. However, it is under-specified, lacking detail about parameters and behavior. It is appropriately sized for a simple tool but does not earn its place beyond stating the obvious.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, return values are covered, but the description still lacks key context. There is no mention of required parent type, error handling, or how this relates to other create tools. For a mutating operation with no annotations, this is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'parent_id' but provides no meaning for it or the 'name' parameter. The schema only gives types; the description adds no semantic context beyond that. An agent cannot infer what values are appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it creates a SysML InterfaceBlock, which is a specific resource type. This distinguishes it from sibling creation tools like create_block and create_constraint_block. The verb 'create' is explicit, and 'under parent_id' adds a location context.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'under parent_id' implies the element is placed within a parent, but there is no explicit guidance on when to use this tool versus alternatives. The tool name itself suggests it's for InterfaceBlock, but no direct comparison or exclusion is given. Usage is inferred rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a mutation (create) and imposes a constraint, but does not mention potential side effects, permission requirements, reversibility, or failure behavior. The existence of an output schema is not reflected, and no return details are disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two short sentences with no redundancy. It front-loads the primary purpose and immediately follows with a key constraint. Every word earns its place, making it easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's context (a creation operation among many similar create_* tools), the description is too sparse. It does not explain what an ItemFlow is, how it relates to the connector, what the name parameter is for, or any constraints on connector_id. The output schema exists but is not described, and the description fails to provide sufficient guidance for an agent to call the tool correctly without additional inference.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must explain all parameters. It only addresses item_element_id by stating it must be a Classifier. It omits any clarification for connector_id and name, leaving those parameters undefined beyond their schema titles. The description adds minimal value and does not compensate for the lack of schema documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (Create) and resource (ItemFlow on an existing Connector), which is specific and distinct from other flow-creation tools. It also adds a constraint on item_element_id, adding precision. However, it does not explicitly differentiate from siblings like create_control_flow or create_object_flow beyond the name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives such as create_control_flow or create_object_flow. It only states a prerequisite (item_element_id must be a Classifier), which is a constraint rather than usage context. No exclusions or alternative recommendations are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the full burden of behavioral disclosure. It indicates a mutation ('Create') but provides no details on side effects, error conditions, or whether the interaction must exist. There is no mention of what the tool returns or how it handles invalid inputs, leaving significant behavioral ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that front-loads the action and resource. There is no extraneous text, and it achieves maximum brevity while still conveying the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple, but the description is too sparse for an agent to call it correctly without additional knowledge. It does not explain the relationship between the lifeline and the interaction, whether the interaction must be provided as an existing element, or what the output (despite an output schema being present) will look like. Key context such as prerequisites and expected parameter values is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description is responsible for explaining the parameters. It does not mention 'name' or 'interaction_id' at all. While the schema titles ('Name' and 'Interaction Id') give basic hints, the tool description adds no semantic meaning, leaving the agent to infer what values are expected and how they relate to the UML model.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb ('Create') and a specific resource ('Lifeline inside a UML Interaction'). It distinguishes from other create_* tools by naming the exact element type, though it doesn't explicitly contrast with siblings like create_interaction or create_message. The purpose is unambiguous for users familiar with UML.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives, nor are any prerequisites mentioned (e.g., the interaction must already exist). The description simply states the action without context on how it fits into the modeling workflow or when it should be chosen over similar creation tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses that send/receive occurrence specs are automatically created, which is a useful behavioral detail. However, it doesn't mention prerequisites (e.g., lifelines must exist), whether the operation is reversible, or any side effects beyond the occurrence specs. For a create tool, this is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences, front-loaded with the main purpose and a key behavioral side effect. No redundant words or irrelevant information. Efficiently structured for quick parsing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with only 4 parameters, and an output schema exists, so return values need not be described. The description covers the core behavior and side effect. It doesn't explicitly state that the lifelines and interaction must already exist, but that is implied by the operation. Overall, it's sufficiently complete for an agent to call it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain parameters. It clarifies that interaction_id refers to the containing Interaction, and sender_lifeline_id/receiver_lifeline_id refer to the two Lifelines. The name parameter is self-explanatory. The description effectively maps all four required parameters to their roles, though it doesn't add format or constraint details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'Create' and the resource 'Message', and specifies the context: between two Lifelines in an Interaction. It also adds a distinctive detail (automatic creation of send/receive occurrence specs) that differentiates it from sibling tools like create_lifeline or create_interaction. No ambiguity or tautology.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use this tool: when creating a message within an interaction, as opposed to other creation tools. It doesn't explicitly name alternatives or state conditions to avoid, but the purpose is so specific that an agent can infer the appropriate usage. Missing explicit 'use this instead of X' guidance, but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description carries the full burden of behavioral disclosure. It only states the basic creation action and gives no information about side effects, prerequisites (e.g., that the ActivityNodes must already exist), validation, or error behavior. This is insufficient for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence that conveys the purpose efficiently with no wasted words. It is appropriately concise for a simple creation tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no parameter documentation, and no mention of prerequisites or return values, the description is too thin. Even for a simple tool, it lacks critical context such as the need for existing elements and the expected output, making it incomplete relative to the complexity of the action.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the description does not explain the parameters. The names activity_id, source_id, and target_id are self-explanatory, but the description does not clarify that source and target are ActivityNodes or that activity is the containing Activity, leaving ambiguity about what IDs to provide.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action: creating an ObjectFlow edge between two ActivityNodes within an Activity. The verb and resource are specific, and the context is given. However, it does not explicitly differentiate from create_control_flow or other edge-creation tools, so it relies on the type name to distinguish.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives like create_control_flow or create_item_flow. No context about selection criteria or exclusions is provided, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Create' implies a mutating operation, but the description does not state whether permissions are needed, what happens if parent_id is invalid, whether the operation is reversible, or what the response/result looks like. An output schema exists but is not described in the input schema. This is a significant gap for a creation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, compact sentence with no redundant phrasing. It front-loads the verb and resource. While it is arguably too terse to be fully helpful, it is not verbose and every word serves a purpose. The structure is clean and scannable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that this is a mutation tool with no annotations, an output schema that is not described, and a 0% parameter coverage, the description is inadequate. It omits crucial context such as what the created package contains, how the parent is identified, any side effects, and the return value. An agent cannot reliably invoke this tool without additional external knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the lack of parameter explanations. It mentions 'under parent_id' which clarifies the role of parent_id, but it does not explain the 'name' parameter beyond its literal name, nor does it provide any details about ID formats, validation, or constraints. The description adds minimal semantic value over the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb (Create) and resource (UML Package) with the location context (under parent_id). It distinguishes from generic creation tools like create_element by specifying the UML Package type. However, it does not differentiate from other package-related tools (if any) or explain the role of a package in the model, but the core purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like create_element, create_block, or other create_* tools. There is no mention of prerequisites (e.g., parent must exist) or scenarios where a different tool is more appropriate. The description leaves the agent to infer usage context entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It adds one useful constraint (parent must be a Block), but doesn't disclose what happens if the parent isn't a Block, whether the operation is validated, side effects, or the output. For a creation tool with zero annotation coverage, this is a meaningful gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single efficient sentence with no wasted words. The core purpose is front-loaded and the clarifying parenthetical adds value without bloat.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values are covered. However, with two parameters at 0% schema coverage, no behavioral guidance, and no usage context, the description is incomplete for an agent deciding how to construct a valid call. More context on parameter semantics is needed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the schema provides no parameter meaning. The description implies parent_id refers to a Block, which is a partial hint, but neither name nor parent_id is described in the schema or the description. It fails to state what name should contain (e.g., the part name) or the format of parent_id.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb (Create), a specific resource (PartProperty), and its context ('under a Block'). The parenthetical '(typed composite part)' clarifies what a PartProperty is, helping distinguish it from siblings like create_value_property and create_reference_property. It's clear but doesn't explicitly name the siblings it differs from.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus the many sibling create_* tools (create_value_property, create_reference_property, create_constraint_property, etc.). The agent must infer the distinction from the resource type alone. There's no statement of preconditions or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action (create) and the target element, but does not mention side effects, required parent type, potential errors, or the return value. There is no indication that the parent must be a Block beyond the phrase 'on a Block', and no mention of what happens if the parent is invalid. This is a significant gap for a mutation operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, grammatically correct sentence with no wasted words, so it is concise. However, it is overly terse—it lacks the substance needed to be helpful. The structure is acceptable, but the brevity results in an under-specification that harms overall quality. It could be longer without losing efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool that creates a specific SysML element, the description is severely incomplete. It doesn't explain what a ProxyPort is, what the parent_id should reference, any constraints on the name, or the expected output. Even though an output schema exists, the description itself provides no context to help an agent understand the tool's role or constraints. Given the complexity of SysML modeling and the presence of many sibling creation tools, this level of detail is inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for explaining the parameters. It does not explain that 'name' is the name of the new ProxyPort or that 'parent_id' is the identifier of the Block on which to create it. The description adds no meaning beyond the schema's property titles, which are minimal. An agent cannot confidently infer parameter semantics from this definition.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('create'), resource ('SysML ProxyPort'), and context ('on a Block'). This clearly indicates the tool's function and distinguishes it from other port-related tools like create_full_port and create_flow_port, though it doesn't explicitly name those alternatives. The purpose is unambiguous and actionable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus sibling tools that create other port types (e.g., create_full_port, create_flow_port). It doesn't mention any prerequisites, constraints, or conditions under which a ProxyPort should be chosen. An agent would have to infer usage from the resource name alone, which is insufficient.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations are absent, so the description carries the full burden of behavioral disclosure. It only states what the tool does ('Create a ReferenceProperty') without mentioning side effects, permissions, or any constraints. No information about whether this is a mutation, what happens to the parent, or any other behavioral aspect.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely brief (a single sentence), but brevity here results from under-specification rather than efficient writing. It lacks any contextual or usage detail that would make it useful. It is not well-structured for an agent to act on, as it omits essential guidance.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a create operation with side effects, yet the description does not explain return values, side effects, or any preconditions. An output schema exists but that only covers return structure, not behavior. Given the complexity of model creation and the absence of annotations, the description is inadequate for an agent to call it correctly without additional context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description provides no parameter explanations. It doesn't mention what 'name' or 'parent_id' represent or how they should be used. The description adds zero semantic value beyond the raw schema field names, which are self-explanatory but not enriched.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource: 'Create a ReferenceProperty under a Block.' It clearly identifies the object type (ReferenceProperty) and its location (under a Block), making the purpose distinct from many other create_* tools. However, it does not explicitly contrast with sibling tools like create_value_property or create_part_property, so it's clear but not fully differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives. No mention of prerequisites, context, or exclusions. The only hint is the name and description, which imply it is for creating reference properties, but no explicit 'use when' or 'instead of' guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full behavioral burden. It states 'Create an additional Region' which implies a mutation, but it does not disclose any side effects, permissions required, preconditions on the parent element, or error behavior. There is no mention of what happens if the parent is not a valid StateMachine or composite State. This is a significant gap for a create operation with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that front-loads the action and resource. Every word contributes to the meaning: 'Create an additional Region' states the action, 'inside a StateMachine or composite State' scopes the target, and '(for concurrent/orthogonal regions)' explains the purpose. There is no fluff or redundancy, making it highly efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 parameters, no nested objects) and the presence of an output schema, the description need not explain return values. However, it lacks guidance on parameter usage (e.g., what name constraints exist, whether parent_id must be a specific type), and it does not mention preconditions or error handling. With no annotations, the description leaves the agent uncertain about the required inputs and the exact behavior. It covers the core purpose but misses essential operational details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate by explaining the parameters. It does not explicitly map 'name' or 'parent_id' to their meanings. The phrase 'inside a StateMachine or composite State' implies parent_id is the target parent, but this is implicit and not directly tied to the parameter names. With two required parameters and zero schema documentation, the description fails to provide adequate semantic guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly specifies the action (create) and the resource (an additional Region) with explicit context of where it applies (inside a StateMachine or composite State). It distinguishes this from siblings like create_state or create_transition by naming the specific element type and its purpose (concurrent/orthogonal regions). This is a specific and unambiguous statement of what the tool does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context on when to use the tool: it is for creating regions inside state machines or composite states, specifically for concurrency. It does not explicitly name alternatives or state when not to use it, but given the sibling list includes other creation tools, the context is sufficient to infer its niche. The lack of explicit exclusions prevents a 5, but it gives enough guidance for typical use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It transparently conveys that this is a create/add operation and clarifies the parent-child relationship. However, it does not mention return behavior, error conditions, or any model-write implications beyond the verb 'Create'.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with no filler. Every word contributes meaning and the operation is stated immediately.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with two required string parameters and an output schema available. The description covers what is created and where. Additional constraints like requiring an existing parent_id would be useful, but the description is largely sufficient for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It gives context for parent_id as the container under which the requirement is created, but it does not explicitly explain the name parameter. The parameter names are self-explanatory, but the description only partially compensates for the missing schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Create'), a specific resource ('SysML Requirement element'), and the location ('under parent_id'). This clearly distinguishes it from generic create_element and other typed create_* siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives clear context: use this tool when creating a SysML Requirement element as a child of a parent. It does not explicitly name alternatives or exclusions, but the intended use case is evident.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses that it returns the root model id and name, but does not mention whether this is a destructive operation, any permission requirements, or side effects on existing model structure. For a write operation, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, no filler, and the action is front-loaded. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-parameter tool, the description covers the core function and return value. However, as a mutation with no annotations, it omits behavioral details (side effects, permissions) and assumes the agent understands what a 'root model element' is. The output schema likely provides return details, but the description's gaps lower completeness.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter 'name' is self-explanatory from the schema (with a default of 'Model'). The description implies that this sets the new name but adds minimal value beyond the schema. Since schema coverage is 0%, the description could have clarified that 'name' is the desired root element name, but it's not essential.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action (Set or rename) and the resource (root model element), which distinguishes it from siblings like rename_element that target arbitrary elements. However, it doesn't explicitly define what a 'root model element' is, leaving some ambiguity for agents unfamiliar with the domain.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. It is implied that this is for the root element only, but the description does not explicitly say 'use rename_element for non-root elements' or mention any prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses that setting is_initial creates a Pseudostate and is_final creates a FinalState, which is behavioral. However, it doesn't mention potential side effects, prerequisites (e.g., region must exist), or failure modes. It also doesn't state whether the flags are mutually exclusive. This is moderate disclosure but leaves gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two concise sentences. The first states the core purpose, the second explains the flag usage. No fluff, every word contributes. The most important information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple creation tool with an output schema, the description covers the essential aspects: what it creates, where, and the special cases. It doesn't mention mutual exclusivity of the flags or prerequisites, but these are minor for a straightforward tool. The output schema likely handles return values, so that's not needed. Overall, it's fairly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It explains the meaning of is_initial and is_final, and implicitly ties region_id to the region. However, it doesn't elaborate on the format of region_id or any constraints on name. It adds some value but not complete compensation for the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Create'), the resource ('State'), and the location ('inside a Region'). It also distinguishes from sibling tools like create_state_machine and create_region by focusing on the state creation within an existing region. The additional note about initial and final pseudostates clarifies the tool's full scope.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use this tool: when creating a state (or initial/final pseudostate) within a region. It doesn't explicitly name alternatives or exclusions, but the context is clear given the sibling list. The flag instructions provide guidance on how to create different kinds of states, which is useful.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavioral traits. It does mention that a default Region is automatically created, which is a valuable side effect. However, it does not disclose prerequisites (e.g., valid parent type), reversibility, or error behavior. The description is minimal but includes one key behavioral detail, so a 3 is appropriate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that front-loads the main action and includes essential details without redundancy. Every word earns its place, and there is no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (2 required parameters, no nested objects) and has an output schema. The description states what it does and the default Region behavior. However, it omits constraints on parent_id (e.g., must be a package or classifier) and does not mention any failure conditions. For a create operation, this is adequate but not fully complete, so a 3 is reasonable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain the parameters. It clarifies that parent_id is the owner (owned by parent_id), but does not explicitly define the name parameter, though it is implied as the state machine's name. The description adds some meaning for parent_id but not enough to fully compensate for the missing schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action (Create) and resource (UML StateMachine), and adds a distinguishing detail (with a default Region) and ownership (owned by parent_id). This differentiates it from sibling tools like create_region, create_state, and create_transition, making the purpose unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives. While the name and description imply it is for state machines, there is no explicit mention of alternatives or conditions, such as using create_element for generic creation or create_region for nested regions. The description does not help an agent decide between this and other create_* tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.