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

Annotations already indicate readOnlyHint=false, destructiveHint=false, idempotentHint=false. The description adds no behavioral traits beyond 'link'. It does not explain idempotency behavior (if already linked), permissions, or effects. Minimal additional value.

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 with two clear sentences plus Args/Returns. No redundant text. Efficient, though could be slightly more structured with bullet points.

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 annotations and an output schema, the description covers basic purpose and parameters. However, it lacks behavioral context (idempotency, error states) and prerequisites. Adequate for a simple operation but not thorough.

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 parameters with trivial 'UUID of the project/work item/page' but adds no meaningful semantics beyond the names. Should clarify roles like 'project containing the work item'.

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 'Link a page to a work item' using a specific verb and resource. It distinguishes from sibling tools like 'detach_page_from_work_item' and 'list_work_item_pages'.

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 the basic purpose but no explicit guidance on when to use versus alternatives (e.g., 'detach_page_from_work_item'). It does not mention prerequisites or edge cases like whether linking is idempotent. Usage context 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?

The description details the mutation: setting end_date to today. Annotations already indicate readOnlyHint=false and openWorldHint=true. No additional behavioral traits (e.g., permissions, side effects) are disclosed beyond the core action.

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: a main sentence, explanatory context, then Args and Returns. It is concise but includes valuable explanation, which prevents a higher score 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?

For a simple two-parameter tool with annotations and implied output schema, the description covers purpose, why it exists, and parameter roles. It lacks details on error conditions or prerequisites (e.g., if cycle already closed), but overall adequate.

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 adds basic parameter descriptions ('UUID of the project', 'UUID of the cycle to complete'), providing minimal meaning beyond the type. More detail (e.g., format, constraints) would improve the score.

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?

Description clearly states the tool's purpose: 'Complete (close) a cycle by setting its end date to today.' It also explains the context that Plane lacks an explicit 'complete' action, distinguishing it from sibling tools like update_cycle.

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 explains the use case for closing a cycle and the reason for this tool's existence. It implicitly differentiates from update_cycle but does not explicitly state when not to use it or mention alternatives.

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 declare readOnlyHint=true and openWorldHint=true; description confirms read-only nature and adds behavioral details about return structure (grouped_counts, sub_grouped_counts). The description adds value beyond annotations.

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?

Well-structured with front-loaded purpose, followed by usage guideline, parameter details, and return format. Every sentence adds value; no unnecessary 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?

Given the complexity of grouping and nested grouping, the description fully explains all parameters and output structure (with output schema details). It is complete for an agent to effectively use the tool.

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 only describes pql (33% coverage), but description lists supported values for group_by and sub_group_by, and explains pql usage with examples. This compensates for schema gaps, adding significant 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 clearly states the tool counts work items with optional grouping, and distinguishes it from fetching full payloads. It specifies the use case for analytics, making the 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?

Explicitly says to use for analytics without fetching full payloads, providing a clear when-to-use guidance. It contrasts with list_work_items, but lacks explicit when-not-to-use scenarios or alternatives like search_work_items.

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 indicate mutation (readOnlyHint=false, destructiveHint=false) and openWorldHint=true. The description adds only 'Returns: Created Cycle object' and parameter formats. It does not disclose side effects, validation rules, error scenarios, or permission requirements. Minimal behavioral context beyond what annotations imply.

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 Args and Returns sections, front-loading the action. It is concise despite listing many parameters, but the inclusion of 'workspace_slug' adds noise. Overall 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?

While the description lists parameters and return type, it lacks context on when to create a cycle, constraints (e.g., unique names), and the inconsistent workspace_slug parameter undermines completeness. With an output schema, return values are covered, but behavioral 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?

With 0% schema coverage, the description provides explanations for all 9 parameters, including format hints (e.g., ISO 8601 for dates, UUID for identifiers). However, it lists 'workspace_slug' which is not in the input schema, causing a discrepancy. The descriptions add value but are not fully consistent.

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 'Create a new cycle' with a list of parameters. It distinguishes from sibling tools like retrieve_cycle, update_cycle, etc., but does not explicitly differentiate from other creation tools like create_project or create_state. The purpose is clear and specific enough for most agents.

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 (e.g., needing a workspace slug) or context when create vs. manage_cycle_work_items should be used. The description lacks any usage direction.

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 already indicate this is a write operation (readOnlyHint: false) and not destructive (destructiveHint: false). The description adds valuable context about the ToolError when the feature is disabled, which is behavioral beyond annotations. No contradictions.

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-organized with a one-line summary, then Args, Returns, and Raises sections. It is concise—every sentence adds necessary information without redundancy. No extraneous text.

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 (7 parameters, feature flag dependency, output schema exists), the description covers all necessary usage aspects: creation, parameter explanation, return value, error handling, and fallback. No gaps identified.

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, but the description provides clear, concise explanations for all 7 parameters in the Args section. Each parameter's meaning and format (e.g., ISO 8601 for dates, enum values for state) are described, adding significant value beyond the raw 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?

Clearly states 'Create a new initiative in the workspace.' and distinguishes from sibling tools like list_initiatives, retrieve_initiative, etc., by specifying the creation action. The description also includes a fallback behavior when the feature is disabled, further clarifying its unique role.

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?

Explicitly describes when to use this tool and when not to: if the workspace's initiatives feature is disabled, the agent should instead create an 'Initiative' work item. The error message is said to contain exact steps, providing clear guidance on alternative actions.

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 already indicate readOnlyHint=false, consistent with creation. The description adds no further behavioral traits (e.g., permission requirements, side effects, or lifecycle details). With annotations present, the description provides minimal additional 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 front-loaded with the main sentence but includes a docstring-style Args/Returns section. It is not overly long, but the inclusion of a non-existent parameter (workspace_slug) wastes some 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 the tool has 2 required parameters and an output schema, the description is minimal. It explains the return type but does not elaborate on what an intake work item is or any constraints. For a create operation, it is moderately complete but could be improved with 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?

The description lists parameters workspace_slug, project_id, and data, but workspace_slug is not in the input schema (only project_id and data are required and defined). This error reduces clarity. Data is described as a dictionary, which aligns with the schema's object type. However, the schema coverage is 0%, so the description adds some meaning but contains a factual mistake.

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 explicitly states 'Create a new intake work item in a project,' clearly identifying the action (create) and resource (intake work item). Among sibling tools like 'create_work_item', this distinguishes intake-specific creation.

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_work_item' for regular work items. There are no usage prerequisites or exclusion scenarios mentioned.

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 indicate readOnlyHint=false (write operation) and destructiveHint=false. The description adds that it 'creates' and 'Returns: Created Label object,' which is consistent but provides minimal extra context about side effects, authentication requirements, or rate limits. No behavioral details beyond the obvious creation action 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 concise and well-structured: a single introductory sentence followed by a bullet list of parameters with brief descriptions, and a return statement. It front-loads the purpose and uses space efficiently. Every sentence adds value without redundancy.

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 8 parameters and an output schema (implied by 'Returns: Created Label object'), the description covers all parameters with sufficient detail. It does not explain the return format, but output schema likely handles that. The description is complete enough for an agent to understand the tool's purpose and required inputs, though it could mention potential side effects or constraints like uniqueness of label names.

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 carries full burden. It lists all 8 parameters with clear, meaningful descriptions (e.g., 'project_id: UUID of the project', 'color: Label color (hex color code)'). This adds significant value beyond the schema's type-only definitions. Could be improved by noting which parameters are required, but that is partially covered by the schema's required list.

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 'Create a new label,' which is a specific verb+resource combination. It distinguishes itself from sibling tools like list_labels, retrieve_label, update_label, and delete_label by being the creation action. However, it could be improved by explicitly contrasting with manage_work_item_label or other label-related 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 is provided on when to use this tool versus alternatives like update_label or delete_label. The description only lists parameters, implying the need for a project_id and name, but does not state prerequisites or conditions under which creation is appropriate. Sibling tools are numerous but no exclusions or context 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?

Annotations indicate readOnlyHint=false and not destructive, but the description only repeats 'Create' without detailing side effects (e.g., does it trigger notifications? require specific permissions?). No behavioral context beyond what annotations imply.

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: a single sentence plus a clean list of parameters and return. Every element is functional with no wasted words.

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?

While the output schema exists (so return type is documented), the description omits important creation context: no mention of duplicate handling, required permissions, or whether the milestone is immediately associated with the project. It's minimally adequate.

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 add meaning. It provides one-line comments for each parameter (e.g., 'UUID of the project') but lacks richer semantics like formatting constraints, validation rules, or relationships between parameters.

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 'Create a new milestone' with a specific verb (create) and resource (milestone). This clearly distinguishes it from sibling tools like update_milestone, retrieve_milestone, and list_milestones.

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 (e.g., create_work_item for task milestones). No prerequisites, exclusions, or context about project relationships are mentioned.

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 already indicate this is a non-destructive write operation. The description adds no behavioral context beyond the obvious fact that it creates a module. It does not address authorization, rate limits, or side effects, but the annotations provide a baseline safety profile.

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 and well-organized. It starts with a clear one-sentence purpose, followed by a bulleted list of parameters with brief descriptions, and ends with the return value. Every line adds value without redundancy.

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?

All parameters are thoroughly documented, and the return type is mentioned. However, the description lacks usage context such as prerequisites or relationships with other tools. Given the existence of an output schema (not shown), the return description is sufficient, but overall completeness is slightly hindered by missing usage guidelines.

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 fully compensates by providing meaningful explanations for all 10 parameters. It includes allowed values for status, ISO 8601 format for dates, and clarifies types (UUID, list). This is essential for correct parameter usage.

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 opens with 'Create a new module,' clearly specifying the verb and resource. It lists all parameters with their purposes, making the tool's function apparent. However, it does not explicitly differentiate from sibling create tools like create_cycle or create_initiative, so it falls short of a 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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, nor does it specify when not to use it. The agent must infer usage solely from the tool name and parameter list.

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 already indicate write (readOnlyHint=false) and non-destructive (destructiveHint=false). Description adds behavioral details about page location and lists all parameters, adding context without contradicting annotations.

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?

Well-structured with a clear first line and a bullet-like parameter list. Slightly verbose but each sentence adds value; could be tightened without losing clarity.

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 11 parameters and an output schema mentioned, the description covers the main behavior and parameter purposes. Does not detail return format, but output schema is present. Adequate for an agent to invoke 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?

With 0% schema description coverage, the description provides essential meaning for all 11 parameters (e.g., 'Project name', 'Page content in HTML format', 'UUID of the project. Omit to create a workspace page.'), making it highly informative 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?

Description clearly identifies the action ('Create a page') and distinguishes between creating a project page or workspace-level page based on project_id. This differentiates from sibling tools like update_page or delete_page.

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?

Provides clear context: include project_id for a project page, omit for workspace page. Does not explicitly state when not to use or list alternatives, but the guidance is sufficient for an agent to decide.

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 indicate writes (readOnlyHint false) but description does not disclose any additional behavioral traits (e.g., side effects, permissions, rate limits). Major inconsistency: description lists workspace_slug parameter not present in input schema, causing potential confusion.

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?

Structured as a list of arguments following a clear one-line purpose. Reasonably concise for 19 parameters, though could be slightly tighter.

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?

Covers purpose and parameters, but lacks context on side effects (openWorldHint true). Inconsistency with workspace_slug reduces completeness. Output schema exists so return description is acceptable.

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?

Description provides brief explanations for each parameter (e.g., 'Project identifier (e.g., MP for My Project)'), adding value over bare schema (0% coverage). However, workspace_slug is described but missing from schema, and defaults are not mentioned despite schema showing null defaults.

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?

Clearly states 'Create a new project' with specific verb and resource. Differentiates from sibling tools like update_project and delete_project by indicating creation.

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 alternatives. Does not mention prerequisites or context for selecting this tool over update_project or list_projects.

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 indicate mutability (readOnlyHint=false) but description adds minimal behavioral context beyond what annotations provide. The default value of last_used=true is noted, but other side effects are omitted.

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?

Well-structured with Args and Returns sections, and the main purpose is front-loaded. Could be more concise by omitting redundant parameter details already in the schema.

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?

Covers basic creation but misses guidance on when to use this vs. create_project_estimate_points, and does not fully explain the 'type' parameter or external system fields. Output schema exists but is not detailed.

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 description provides essential meaning for parameters (e.g., 'UUID of the project', 'Name of the estimate...'). However, it lacks detail on the 'type' parameter values and implications of external_id/source.

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 'Create a new estimate for a project' with a specific verb and resource, distinguishing it from sibling tools like create_project_estimate_points, update_project_estimate, and delete_project_estimate.

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 versus alternatives like create_project_estimate_points. The description lists parameters but does not provide context for selection.

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 indicate write operation (readOnlyHint=false). Description adds context on point dict fields and example but doesn't disclose behavior like duplicate key handling or overwriting. No contradiction with annotations.

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?

Well-structured with clear header, bullet points, example, and explicit args. Could be slightly more concise, but no redundant 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?

Missing context about prerequisites (e.g., estimate must exist) and behavior when points already exist. Output schema exists but is not elaborated, which is acceptable.

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%, but description compensates by detailing point dict fields, providing an example, and listing required args, adding significant meaning beyond the minimal 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?

Description clearly states 'Create estimate points for a project estimate' and distinguishes from sibling tools like create_project_estimate and update_project_estimate_point by specifying it creates point definitions within an estimate.

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 when-to-use or when-not-to-use guidance relative to siblings. The example implies usage, but prerequisites (e.g., estimate must exist) and alternatives are not mentioned.

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 only says 'create', which is consistent with annotations but adds no behavioral context beyond the annotations themselves. It does not mention idempotency, side effects, permissions, or error conditions.

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 one-sentence purpose, a parameter list, and a return description. It is front-loaded and each line adds value, though the parameter list could be more compact.

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 10 parameters and an output schema, the description covers the essential purpose and parameter meanings. It does not explain relationships or constraints further, but for a creation tool this is acceptable.

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 compensates by listing all 10 parameters with brief but meaningful explanations (e.g., 'project_id: UUID of the project', 'color: State color (hex color code)'). This adds value beyond the schema types.

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 'Create a new state.' with a list of parameters and return type. This verb+resource combination is unambiguous and distinct from sibling tools like list_states, update_state, and delete_state.

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 provide any guidance on when to use this tool versus alternatives. It lacks explicit context on prerequisites, when not to use it, or comparisons to related tools like update_state.

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 already indicate non-read-only (writes) and non-destructive. The description adds no behavioral context beyond stating it creates a work item. No mention of permissions, side effects, or rate limits. With annotations present, the description falls short of adding significant behavioral insight.

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 an Args block and clear line-by-line parameter definitions. It is front-loaded with the purpose. While lengthy due to many parameters, every sentence adds information, earning 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?

Given the complexity (19 parameters, output schema exists), the description adequately explains parameters and return type. However, it does not differentiate from other creation tools (e.g., create_intake_work_item) or mention when to use this specific tool, leaving a minor gap in 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?

Schema description coverage is 0%, but the description provides extensive explanations for each parameter, including types, requiredness, and special behavior (e.g., description_stripped being ignored if description_html is set). This adds substantial value 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 starts with 'Create a new work item,' which clearly states the verb and resource. It distinguishes itself from siblings like update_work_item and delete_work_item by focusing on creation, and the parameter list clarifies the 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 does not explicitly state when to use this tool versus alternatives (e.g., create_intake_work_item), nor does it provide exclusions or prerequisites. Usage is implied by the purpose but lacks explicit 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?

Annotations provide readOnlyHint=false and destructiveHint=false, but the description adds minimal behavioral context beyond stating it creates a comment. It does not disclose idempotency, rate limits, or what happens with conflicting parameters like comment_html and comment_json.

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 structured as a docstring with a clear first sentence stating purpose, followed by a parameter list. It is concise without unnecessary words. The parameter list is needed due to zero schema coverage, so it 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?

Given the tool has 7 parameters, output schema, and is a mutation in a complex API, the description is incomplete. It does not explain parameter interactions (e.g., comment_html vs comment_json), required permissions, or validation rules. Lacks context for effective use.

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 provides basic meanings for all 7 parameters (e.g., 'UUID of the project', 'Access level for the comment (INTERNAL or EXTERNAL)'). However, it lacks details on constraints, usage patterns, or parameter interactions.

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 'comment for a work item'. It aligns with the tool name and distinguishes from sibling CRUD operations like update, delete, list.

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 (e.g., update_work_item_comment for editing). It does not mention prerequisites or exclusion criteria. Sibling names imply usage but description lacks explicit 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?

Annotations indicate readOnlyHint=false and idempotentHint=false, consistent with creation. Description adds no additional behavioral context beyond the basic nature of creation.

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?

Extremely concise with a one-line summary and clear Args/Returns structure. No wasted text.

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?

Simple tool with output schema. Missing context on idempotency, uniqueness, or required prerequisites (e.g., valid work item). Adequate but not thorough.

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%. Description lists parameters with basic types (UUID, URL) but no constraints or format details. Provides minimal meaning beyond 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 'Create a link for a work item' with a specific verb and resource. It distinguishes from siblings like retrieve, update, delete links.

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 alternatives (e.g., list_work_item_links, create_work_item_relation). No context on preconditions or avoidances.

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 indicate readOnlyHint=false and destructiveHint=false, so the tool creates something. The description adds behavioral context beyond annotations: it explains scope resolution, parameter dependencies (e.g., relation_type required for RELATION), and return type ('Returns Created WorkItemProperty object'). No contradictions with annotations. It does not mention side effects like idempotency (idempotentHint=false), but that is acceptable.

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 one-line summary, scope resolution in bullet-like format, and a parameter list. It is fairly long but every sentence adds value given the complexity (15 parameters, scope resolution). It is front-loaded with the main purpose. Could be slightly more concise, but it is efficient for the information density.

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 (15 parameters, scope variations, multiple property types), the description covers essential aspects: scope resolution, parameter dependencies, required combinations, and return type. An output schema exists, so return values need not be detailed further. It is complete enough for correct agent usage, though error conditions or rate limits are not mentioned.

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 carries full burden. It provides detailed explanations for all 15 parameters, including type options (e.g., property_type enum values), structure (e.g., settings JSON format, options list of dicts), and usage constraints (e.g., relation_type required when property_type=RELATION). This adds significant 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 starts with a clear verb and resource: 'Create a new work item property.' It explicitly distinguishes from sibling tools like update, delete, list, retrieve by focusing on creation. The scope resolution section further clarifies the purpose by detailing how the property is scoped (type-scoped, project-level, workspace-level), which differentiates it from others.

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 explicit guidance on when to use which parameters (e.g., omit work_item_type_id for project-level, relation_type required for RELATION type). It also explains required conditions for parameters like settings for TEXT/DATETIME. However, it does not explicitly state when to use this tool versus alternatives, but the sibling context and clear scope resolution serve as implicit 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?

Annotations already indicate readOnlyHint=false, idempotentHint=false, destructiveHint=false. The description adds the return value ('Created WorkItemPropertyOption object') but does not disclose side effects beyond creation, such as whether the property must exist or what happens if an option with the same name already exists. The behavioral disclosure is adequate but minimal given 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 well-structured docstring with Args and Returns sections. Every sentence adds information about parameters or return value. It is not overly verbose but could be slightly more concise by omitting redundant parameter names. Overall, it is efficient and 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?

The tool is relatively simple. With an output schema present, the description does not need to detail return fields. It covers all parameters and the return object. However, it lacks information on prerequisites (e.g., does the property need to be of option type?) or error scenarios. For a create operation, this is almost complete but not fully comprehensive.

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 provides brief but meaningful descriptions for all 8 parameters (e.g., 'UUID of the work item property', 'Hex color string e.g. "#FF5733"'). While not extensive, this adds essential meaning beyond the raw schema, effectively covering all parameters.

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 option on a work item property') and the resource. It distinguishes itself from sibling tools like 'create_work_item_property' (creates the property itself) and 'update_work_item_property_option' (updates an existing option), showing specific verb-resource pairing.

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 when-to-use or when-not-to-use guidance is provided. The description lists required parameters (property_id and name) but does not contrast with alternatives like updating or deleting options. The purpose is clear from the name but fails to provide explicit usage 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?

Annotations already indicate non-read-only, non-idempotent, non-destructive behavior. The description adds context about the relationship creation process and return of created objects, which is transparent.

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 front-loaded with a clear summary and well-organized paragraphs, though slightly long; 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 description covers all necessary aspects: prerequisites (list definitions), parameter handling, and return type, making it complete for a complex tool with 6 parameters.

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 fully explains each parameter in the Args section, including usage differences between relation_type and definition fields, adding significant 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 clearly states the verb 'relate' and the resource 'work item to targets', and distinguishes itself from sibling tools like remove_work_item_relation and list_work_item_relations.

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 explicitly instructs to call list_work_item_relation_definitions first and explains how to handle built-in vs custom relations, providing clear guidance on when and how to use the tool.

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 already indicate readOnlyHint=false, so the mutation behavior is clear. The description adds that this is a create operation, which is consistent. It does not elaborate on potential side effects, such as whether definitions can be modified or deleted later, or any restrictions on uniqueness. The description adds minimal context beyond the annotations.

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 and well-structured: a one-line summary, a brief explanation of the resource, an 'Args' list with clear labels, and a 'Returns' line. Every sentence is informative and there is no redundancy or 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?

Given the moderate complexity (5 parameters, output schema exists), the description adequately covers the purpose, parameters, and return type. It could mention uniqueness constraints for the 'name' parameter, but overall it is sufficient for the agent to understand and invoke 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?

With 0% schema description coverage, the description compensates well by listing all parameters in the 'Args' section and explaining each: name (unique name), outward/inward (labels from source/target perspective), is_active (availability for use), color (hex code for UI). This adds meaning beyond the property names and types in the schema. However, it does not specify format constraints (e.g., max length for name).

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 'workspace relation definition'. It explains that a relation definition describes a named relationship type, distinguishing it from creating an actual relation instance (a sibling tool). 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?

The description implies when to use the tool (to create a relation definition) but does not explicitly state when not to use it or provide alternatives. It lacks guidance on prerequisites or context, relying on the tool name and sibling context. The agent would need to infer usage from the description of what a relation definition is.

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 already indicate non-read-only, non-idempotent, non-destructive. The description adds that creation may cause duplicates (implied by recommending 'resolve_work_item_type'), but does not elaborate on other behavioral traits like permissions or side effects. Adequate but not comprehensive.

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?

Concise single sentence for purpose, followed by a clear 'Args' section listing parameters. No fluff; 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?

With 7 parameters and an output schema present, the description covers essential guidance (usage alternative, parameter meanings). It does not explain return values, but the output schema likely handles that. Missing some behavioral nuances, but overall sufficient for selection and 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 input schema has 0% description coverage, and the description lists all parameters with brief explanations (e.g., 'project_id: UUID of the project. Omit for workspace-level type.'). This adds meaning beyond the schema's type-only definitions, compensating for the low 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 clearly states the tool's action: 'Create a new work item type.' It also distinguishes from the sibling tool 'resolve_work_item_type' by advising when to use the alternative, making the purpose explicit.

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?

Provides explicit guidance: recommends 'resolve_work_item_type' over this tool for project-scoped types to avoid duplicates. This tells the agent when not to use this tool and suggests a better alternative.

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 does not elaborate on behavioral traits beyond what annotations provide. With readOnlyHint=false, the agent knows it's a write operation, but no details on permissions, side effects, or limits are mentioned. The description adds no extra 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 concise and structured as a docstring with clear parameter documentation. It wastes no words, though it could be slightly more compact by omitting the 'Args' section pattern.

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 (which documents return values), the description adequately covers the input side. It explains all required and optional parameters sufficiently for an agent to invoke the tool, though it lacks 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?

Despite having 0% schema description coverage, the description explicitly lists each parameter with a brief explanation (e.g., 'duration: Duration of work in minutes'), adding meaning beyond the raw type definitions in 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 tool's action ('Create') and resource ('work log'), with the target context ('for a work item'). It is easily distinguishable from sibling tools like 'list_work_logs', 'update_work_log', and 'delete_work_log'.

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 'create_intake_work_item' or 'create_work_item'. There is no discussion of prerequisites, conditions, or typical scenarios.

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 already indicate destructiveHint=true and readOnlyHint=false. The description only restates 'Delete' without adding new behavioral details like cascading effects or permissions required.

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 short but includes an extra argument (workspace_slug) not in the schema, wasting space. It could be more concise by aligning with the schema.

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 lacks information about return values, error conditions, and dependencies (e.g., cycle must exist). The inconsistency with the schema further undermines 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 description includes workspace_slug as an argument, but it is not present in the schema. It does provide context for project_id and cycle_id as UUIDs, but the inconsistency reduces reliability.

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 (Delete) and the resource (a cycle by ID). It effectively distinguishes from sibling cycle management tools like 'complete_cycle' and 'manage_cycle_work_items'.

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 archiving a cycle or transferring work items. There is no mention of prerequisites or constraints.

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 already indicate destructive and idempotent behavior. The description adds specific error context when the feature is disabled, which is helpful beyond annotations.

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?

Three concise sentences: purpose, parameter, and error case. All sentences add value, though parameter info could be integrated.

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?

Covers purpose, parameter, and a key error case. Lacks success return behavior, but given no output schema, it is reasonably complete for a simple delete tool.

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, but the description clarifies that 'initiative_id' is a UUID, adding meaning beyond the schema's bare type 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 explicitly states 'Delete an initiative by ID' with a clear verb and resource. It distinguishes from sibling tools like retrieve_initiative or update_initiative.

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; no mention of prerequisites or when not to use it.

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 already declare destructiveHint=true, so the description's 'Delete' aligns. It adds detail about the expected identifier (issue field), but does not disclose side effects, permissions, or consequences beyond the action. With annotations covering the safety profile, the description provides moderate additional value.

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 short but includes an Args block with a superfluous parameter (workspace_slug not in schema). This reduces efficiency. The core statement is concise but the extra detail is misleading, making it average.

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 delete tool with no output schema and annotations covering safety, the description should clarify what an intake work item is and whether deletion is reversible. The presence of an erroneous parameter (workspace_slug) indicates incomplete specification. The note about work_item_id helps but overall completeness is lacking.

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 description must compensate. It describes project_id as UUID and work_item_id with a specific source. However, it incorrectly lists workspace_slug as an argument not present in the schema, causing confusion. This inconsistency undermines the semantics 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 the action and resource: 'Delete an intake work item by work item ID.' This distinguishes it from siblings like delete_work_item. The verb-resource pair 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?

The description provides a specific note about using the issue field for work_item_id, which guides correct invocation. However, it offers no explicit guidance on when to use this tool versus alternatives like delete_work_item or delete_intake_work_item itself. Context for tool selection is implied but not 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?

The description only repeats the delete action, which is already captured by the destructiveHint annotation. It adds no new behavioral context such as reversibility, impact on associated work items, permission requirements, or error conditions. Given annotations already convey destructiveness, the description fails to provide additional 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 concise: one sentence for purpose and a minimal args list. Every part is necessary and no words are wasted. It is well structured with a clear separation of function and parameters.

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 delete tool with annotations covering idempotency and destructiveness, the description is mostly adequate. However, it omits important context such as whether deletion cascades, if the label must exist, or how to obtain the IDs. Missing details reduce completeness for an agent operating in a complex environment with many sibling 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?

With 0% schema description coverage, the description compensates by listing both parameters (project_id and label_id) and briefly explaining each as a UUID. This adds meaning beyond the schema's type-only definitions, though it lacks further details like format constraints or examples.

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 'Delete a label by ID', specifying the action (delete) and resource (label). While it doesn't explicitly distinguish from siblings, the verb itself differentiates it from create, update, and retrieve operations. It is concise and 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 manage_work_item_label or update_label. There is no mention of prerequisites, scenarios, or conditions for deletion, leaving the agent to infer usage context 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?

Annotations already provide readOnlyHint=false, destructiveHint=true, idempotentHint=true. The description adds no additional behavioral context such as cascading effects or reversibility.

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?

Extremely concise: two short sentences plus parameter list. Every word is necessary and to the point.

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 no output schema and simple delete action, description is adequate but could mention side effects or restrictions. Siblings like manage_milestone_archive provide alternatives not referenced.

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, so the description adds value by stating 'UUID of the project' and 'UUID of the milestone', clarifying the required IDs.

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 'delete' and the resource 'milestone', distinguishing it from sibling tools like delete_project, delete_cycle, etc.

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 alternatives like manage_milestone_archive or other delete tools. The description provides no context for decision-making.

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 merely repeats the action 'delete' without elaborating on consequences (e.g., cascading deletions, reversibility, or permission requirements). Annotations already indicate destructiveHint=true, but the description adds minimal value beyond that. It also incorrectly includes 'workspace_slug' in the args, which is not present in the input schema, creating confusion.

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 short but contains unnecessary 'Args:' formatting and an extraneous parameter. It could be more concise by directly stating the required parameters without the label.

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 is destructive (destructiveHint=true) and has no output schema, the description should explain what happens on success/failure, any dependencies, and the role of the missing workspace_slug. It fails to provide this context, making it incomplete for an agent.

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 attempts to describe parameters but incorrectly includes 'workspace_slug', an argument not in the schema. While it correctly mentions 'project_id' and 'module_id' as UUIDs, the extra erroneous parameter misleads the agent.

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