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

The description only says 'Create' and lists asset types, disclosing no side effects, overwrite behavior, dependency requirements, or the wide range of actions (50+ in the enum). Annotations are all false and add no context, so the description carries the full burden but fails to disclose meaningful 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 one concise sentence with no wasted words. It is front-loaded with the verb and resource list, which is efficient for a high-level summary, though it sacrifices depth.

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 60 parameters, a required action enum with many values, and no output schema, this description is severely incomplete. It doesn't explain the action parameter, how to execute different creation tasks, what inputs are required for each, or what the result would be. An agent cannot reliably select and invoke the correct operation.

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 provides zero parameter-level information. With only 40% schema coverage and many generic parameter names like 'value', 'time', and 'mass', the agent gets no help mapping parameters to the various creation workflows. The list of asset types does not correspond to any parameter names or values.

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 lists specific resource types (blueprints, blend spaces, montages, state machines, Control Rig, IK rigs, ragdolls, vehicle physics), which clearly communicates the tool's domain. It doesn't explicitly distinguish from siblings like manage_blueprint or manage_skeleton, but the animation/physics focus is fairly specific.

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 vs alternatives. There are no prerequisites, exclusions, or alternative tool recommendations, leaving the agent to infer usage from the high-level 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?

Annotations indicate readOnly=false (mutating) and openWorld=true, but the description adds meaningful context: external AI services, environment variable prerequisites, and the presence of check_generation_status implying asynchronous polling. No contradictions 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?

The description is mostly efficient, with a clear overview and action list. The initial fragment 'External AI asset generation pipeline.' is slightly unnecessary but not harmful. The action list is dense yet 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 the tool's complexity (multiple actions, external API dependencies), the description covers purpose, prerequisites, and action taxonomy, including polling via check_generation_status. It lacks details on return formats or error handling, but no output schema exists and the description is adequate for tool selection.

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 100%, so each parameter is already well-documented. The description adds an action-level overview but does not provide extra parameter-specific semantics beyond what the schema already includes.

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 is an external AI asset generation pipeline for 3D models and textures using Meshy and Tripo, and lists specific actions. This distinguishes it from sibling tools like manage_asset and manage_texture, which are likely local asset management 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?

Provides clear context: it is an external pipeline requiring API keys, and the action list implies when to use each sub-operation. However, it does not explicitly contrast with sibling tools like manage_asset or manage_texture, so it lacks a clear 'when not to use' statement.

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 and readOnlyHint=false, but the description adds no further behavioral context. It fails to disclose that actions like 'delete' or 'bake_lightmap' are destructive, or that modifying landscapes can overwrite existing work. With annotations present, the description should supplement, but it offers no added detail.

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, which is concise, but it is under-specification for a tool with 66 parameters and over 20 distinct actions. It provides no structured breakdown or feature list, making it too terse to be useful.

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 a very broad scope, but the description only covers landscapes, foliage, and terrain. It omits entire categories like sky, fog, LODs, snapshots, and time-of-day actions, leaving the agent with an incomplete picture. With no output schema, the description should at least summarize the main capability groups, but it does not.

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 66 parameters and only 21% schema description coverage, the description carries a heavy burden to explain parameter usage. It does not mention the required 'action' parameter, nor any parameter names or how they map to operations, so it completely fails to compensate for the sparse 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 uses specific verbs (create, sculpt, paint, generate) and resources (landscapes, foliage, terrain/biomes), making the tool's purpose reasonably clear. However, it does not differentiate from sibling tools or hint at the full range of actions (e.g., sky, fog, LODs, snapshots) available via the 'action' parameter.

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 or exclusions. Sibling tools like manage_geometry and manage_lighting are not mentioned, and no context is given about prerequisites 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 provide minimal safety hints (e.g., readOnlyHint false, destructiveHint false), so description carries the burden. The description lists destructive-ish actions like delete_checkpoint and restore/rollback without explaining side effects, reversibility, or preconditions. It does not add behavioral context beyond the schema's action-specific notes (e.g., transaction behavior) and leaves consequences unclear.

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 at two sentences. The first sentence captures the core purpose efficiently; the second sentence lists actions, which is somewhat redundant with the schema but provides a useful at-a-glance summary. No fluff 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?

The tool has 5 parameters, no output schema, and sparse annotations. The description only gives an action list and general purpose, lacking guidance on which parameters are needed for specific actions, return value expectations, or preconditions. This is insufficient for an agent to fully understand how to use the tool correctly across all eight actions.

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 100% with all four parameters described, including the action enum with notes on transaction behavior. The description adds no extra parameter-level detail—it only restates action names. Baseline 3 applies because the schema already documents parameters well.

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 is a 'Checkpoint and transaction system' with specific verbs: 'Create semantic snapshots', 'diff between checkpoints', and 'rollback changes'. It also lists all eight actions, making it distinct from sibling tools like source_control or manage_*.

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 snapshotting, diffing, and rollback via the action list, but it does not explicitly state when to use this tool versus alternatives (e.g., source_control) or mention exclusions/prerequisites. No direct 'when to use' guidance is provided beyond the listed 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 declare destructiveHint=true and readOnlyHint=false, but the description adds no behavioral context about destructive actions (e.g., delete_by_tag, destroy_actor) or side effects. It even mentions 'enable physics,' which is not an explicit action in the schema, potentially misleading the agent. No contradiction with annotations, but the description fails to disclose the tool's destructive and mutating nature beyond what the annotations already state.

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 words. It front-loads the key actions and is easy to scan. However, it is terse to the point of vagueness, and the phrase 'enable physics' is not reflected in the schema, slightly undermining clarity. Overall, it is appropriately short but could be more precise.

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 high complexity (19 parameters, 40-action enum, nested objects, no output schema), the description is far too minimal. It does not mention return values, action-parameter dependencies, error cases, or the breadth of operations (e.g., finding, deleting, snapshots). The one-sentence overview is inadequate for an agent to safely and correctly invoke this tool across its many actions.

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 79%, so the schema already documents most parameters. However, the description itself adds no parameter semantics—it does not explain that the 'action' parameter is a switch determining which other parameters apply, nor does it clarify generic object params like 'variables' and 'properties' that lack descriptions. The action enum is described only as 'Action,' providing little guidance for a required parameter with 40 possible values.

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 specific verbs and resources: 'Spawn actors, set transforms, enable physics, add components, manage tags, and attach actors.' It clearly indicates this tool operates on actors, distinguishing it from asset or blueprint management tools. However, it omits many actions listed in the schema (e.g., delete, duplicate, find, snapshot) and does not fully differentiate it from other actor-related tools like manage_character or manage_ai.

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 simply lists capabilities without stating when to prefer control_actor over sibling tools, what prerequisites exist, or what actions are excluded. The agent must infer usage from the large action enum 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?

Annotations provide no safety hints (all false), so the description must disclose behavioral traits. It mentions actions like 'run console commands' and 'simulate input' but omits potential side effects, prerequisites, or irreversible changes, leaving the agent without critical safety information.

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 that front-loads the most common actions. It contains no fluff, but its extreme brevity for a tool with 32 parameters borders on under-specification.

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 32 parameters, an action enum of 40+ values, and no output schema, this description is far from complete. It provides no examples, no mapping of actions to required arguments, and no mention of expected outputs or pitfalls.

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 schema description coverage at only 41%, the description needed to compensate by explaining key parameters or action-argument relationships. It names no parameters and offers no mapping between the listed actions and the many generic fields (fov, key, axis, speed, etc.), leaving the agent to guess.

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 enumerates distinct editor control operations (PIE, viewport camera, console commands, screenshots, input simulation), distinguishing it from sibling tools focused on assets, actors, or levels. However, it is not a single specific verb+resource; it is a broad list of capabilities.

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 control_actor, manage_level, or system_control. The description simply lists capabilities without any contextual triggers 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?

The description explicitly states 'read/write properties' and includes actions like set_property, set_component_property, delete_object, and restore_snapshot, which contradict the annotations readOnlyHint=true and destructiveHint=false. This is a serious inconsistency that undermines trust.

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, but it sacrifices detail and includes the misleading 'read/write' claim. It front-loads the purpose but fails to convey the tool's complexity or safety profile.

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 tool has 16 parameters, 31 action enum values, and no output schema. The description provides almost no operational context, leaving agents without guidance on which action to choose, how parameters combine, or what to expect in return. It is wholly inadequate for the tool's complexity.

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 69%, so most parameters already have descriptions. The description adds minimal semantic value beyond the schema, only vaguely referencing property access and snapshots without explaining parameter relationships or action-specific 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 uses a specific verb 'Inspect' and names the resource ('any UObject'), listing core activities like read/write properties, list components, and query class info. However, it doesn't distinguish this from sibling tools like 'observe' or 'control_actor', and the read/write breadth makes it less focused.

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, nor any exclusions or prerequisites. The description simply enumerates capabilities without contextualizing when each action 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?

Annotations already indicate this is not read-only and not flagged as destructive. However, the description adds no additional behavioral context beyond listing operations. It fails to disclose potential asset overwrites, required project setup, or effects of repeated calls, which is significant given the sparse 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 a single sentence with no filler, front-loading the primary verb and resources. It is efficiently structured and 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?

A 55-parameter tool with 44 actions and no output schema needs more high-level orientation. The description doesn't explain how actions are organized, what typical workflows look like, or how the action parameter drives behavior. It is an adequate summary but not complete enough for such a complex 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?

All 55 parameters have schema descriptions (100% coverage), so the schema carries the semantic burden. The tool description adds only high-level resource categories and does not explain parameter relationships or the central role of the 'action' parameter. Minimal added value beyond what the schema already provides.

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 specific verbs 'Create' and 'configure' and explicitly names five distinct AI resource types: AI Controllers, Behavior Trees, Blackboards, EQS queries, and perception systems. This clearly distinguishes it from the sibling tool manage_behavior_tree by covering a broader AI management 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 provides no explicit guidance on when to use this tool versus dedicated sibling tools like manage_behavior_tree, nor any exclusions or prerequisites. It simply lists capabilities without contextual steering about which action to choose or when an alternative would be more 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?

Annotations already declare destructiveHint=true, and the description adds operation context such as deleting assets and editing materials. It does not, however, detail what gets destroyed, side effects, or consequences of source-control-related actions, so the added behavioral transparency is limited.

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 three tightly written sentences with no filler, front-loading the main operations. It is concise and well-structured for a broad tool, though it 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?

With 81 parameters, over 50 actions, and no output schema, this high-level description is insufficient for an agent to select and invoke the right action. It omits return values, parameter relationships, and action-specific 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 only 54% across 81 parameters, and the description itself provides no parameter-level meaning. It does not compensate for the many undocumented or sparsely documented parameters like checkoutFiles, fixupRedirectors, or reductionSettings.

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 specific verbs and resources: 'Create, import, duplicate, rename, delete assets. Edit Material graphs and instances. Analyze dependencies.' It clearly states the tool's functional scope and is distinguishable from pure material or texture tools, though it doesn't explicitly name 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 explicit guidance on when to use this tool versus sibling tools like manage_material_authoring or manage_texture. The description implies asset management usage but does not provide selection criteria for the many actions 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?

Annotations already communicate that the tool is not read-only and not idempotent. The description adds some behavioral context by mentioning 'play/stop', 'add', 'configure', and 'author', which imply state-changing and asset-creating operations. However, it does not disclose side effects such as saving assets, required permissions, or reversibility, so it only marginally exceeds annotation-provided information.

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 that names the major functional areas without unnecessary verbosity. It is front-loaded with the most common actions ('Play/stop sounds') and remains compact given the tool's breadth. The run-on list is somewhat dense but not unwieldy, and every phrase contributes a distinct category.

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 60 parameters, 48 action variants, and no output schema, this description is far from complete. It provides only a high-level overview and does not explain action-specific behavior, return values, or side effects. Even with the annotations, an agent would struggle to know which parameters are required for a given action or what the result will be.

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 60 parameters and schema description coverage at 48%, the description was expected to compensate for undocumented fields, but it does not. It offers no explanation of parameter usage, relationships, or action-specific required inputs. The description's high-level categories (e.g., 'spatial audio') loosely map to some parameters but provide no concrete semantic help for invoking the tool 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 identifies the tool's domain and primary actions: playing/stopping sounds, adding audio components, configuring mixes/attenuation/spatial audio, and authoring Sound Cues/MetaSounds. It distinguishes itself from sibling tools by naming audio-specific resources and operations, though it remains a broad umbrella for many sub-actions.

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 explicit guidance on when to use this tool versus alternatives. It implies audio-related tasks but does not state exclusions, prerequisites, or complementary tools. The lack of any 'when-to-use' or 'use instead' language leaves the agent to infer 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 indicate destructiveHint=true and readOnlyHint=false, which already signal mutating behavior. The description adds context by naming create/add/configure actions but does not disclose that remove_node and break_connections are destructive operations. It also lacks any side-effect details. Given annotations already cover safety profile, the description adds minimal extra 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, efficient sentence that conveys the main operations without fluff. It is front-loaded with the primary verb 'Create' and lists key capabilities. However, it could be more structured by enumerating actions or operation categories, but for its length it serves its 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?

This is a complex tool with 12 parameters, multiple actions, nested objects, and no output schema. The description is far too sparse to cover how each action works, which parameters are required for each, or what the tool returns. It lacks usage examples or action-specific guidance, making it inadequate 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?

Schema description coverage is 58%, so the schema partially explains parameters. The description mentions node types (task/decorator/service) which gives meaning to nodeType, and 'configure node properties' relates to the properties object. However, it does not explain x/y coordinates, connection parameters, or action-specific requirements, so it only adds marginal 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 tool's function: create behavior trees, add nodes, and configure properties. It identifies the resource (Behavior Trees) and specific actions, which distinguishes it from general AI or task management tools. However, it omits actions like remove_node and break_connections that are present in the action enum, so it is not fully complete.

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 sibling tools include manage_ai, manage_tasks, and others, but the description does not differentiate or state when behavior tree editing is appropriate. There is no mention of 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?

Annotations already declare destructiveHint=true and readOnlyHint=false, but the description adds no behavioral context beyond a generic action list. It does not disclose potential destructive side effects (e.g., node deletion, component removal) or any operational caveats, providing minimal value over 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 a single, front-loaded sentence with no waste. However, for a tool of this complexity (68 params, 36 actions), it is under-specified rather than appropriately concise, leaving out critical scope 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?

Given the tool's vast action set and lack of output schema, the description is incomplete. It covers only creation, component addition, and node manipulation, omitting get/compile/variable/event operations and any behavioral prerequisites. This is insufficient for an agent 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 only 46%, and the description provides no parameter-level details. With 68 parameters and many undocumented fields, the description should clarify parameter usage but instead only mentions high-level component types (mesh, collision, camera), which does not map meaningfully to 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 primary actions: creating Blueprints, adding SCS components (mesh, collision, camera), and manipulating graph nodes. This distinguishes it from sibling tools like manage_asset, though it omits several major action categories (compile, variables, events) and doesn't explicitly separate from manage_asset for blueprint assets.

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, no prerequisites, and no exclusions. It simply lists a few actions without context for selection among the many sibling 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?

Annotations provide no positive safety context (all hints false), and the description doesn't disclose that many actions mutate existing assets, require specific parameters, or produce side effects. It only mentions creation, which is a subset of the tool's actual behavior, leaving destructive or modifying actions unmentioned.

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 with no wasted words, front-loaded and easy to parse. However, it sacrifices necessary content for brevity, underspecifying a highly complex tool. It's structurally clean but not appropriately sized for the tool's scope.

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 74 parameters, 27 enum actions, nested objects, and no output schema, this description is grossly inadequate. An agent cannot determine how to select actions, which parameters are required for each action, or what the tool returns, making it nearly unusable 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 74 parameters with 69% description coverage, but the description adds no parameter-level semantics beyond vague categories like 'movement' and 'animation state machines'. It doesn't explain which parameters apply to which actions or highlight dependencies like required action enum and modeId.

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 action ('Create Character Blueprints') but is too narrow for a tool whose action enum includes configuration, movement, footstep, and query operations. It partially distinguishes from generic manage_blueprint by focusing on character-specific elements, but the verb 'Create' underrepresents the tool's broader management 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?

No explicit guidance on when to use this tool vs alternatives like manage_blueprint or manage_skeleton. The description implies use for character blueprint creation, but it doesn't mention exclusions or where to go for generic blueprint tasks, leaving usage boundaries 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?

The annotations are all false (readOnlyHint, destructiveHint, etc.), providing no safety or side-effect profile. The description does not disclose potential destructive actions, prerequisites, or consequences of creating/overwriting combat configs, which is significant 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?

One sentence covering key capabilities with no redundancy. It is front-loaded and efficient, though it could be slightly more structured to list actions.

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 86 parameters, 39 actions, and no output schema, the description is insufficient. It doesn't explain how to invoke actions, what the required 'action' parameter means, or what the tool returns. Agents would struggle to understand request composition despite 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 description coverage is high (86%), so the schema already documents most parameters. The description adds broad thematic context (hitscan, melee) but doesn't detail any specific parameter relationships or requirements, so it meets baseline 3.

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 specific verbs 'create' and 'configure' and names concrete combat resources (weapons, damage types, hitboxes, reload, melee). It clearly distinguishes from siblings like manage_asset or manage_blueprint by focusing on combat mechanics, though it is broad and could be more specific.

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. It doesn't mention exclusions or prior steps. The intended usage is only implied by the tool name and description summary.

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 destructiveHint=true, but the description only mentions 'create' and 'control', which downplays the destructive actions (e.g., cleanup, remove_niagara_node, clear_debug_shapes) possible via the action enum. The description adds no context about side effects, mutability, or destructive potential.

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 brief (two sentences) and front-loaded with key domain terms, but it is under-specified for a tool with this complexity. It lacks structure (e.g., bullet points or an overview of actions) and feels more like an incomplete summary than a well-crafted description.

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 enormous parameter surface (93 params), a large action enum (60+ values), and no output schema, the two-sentence description is wholly inadequate. It does not explain how to use actions, what parameters each action requires, expected outputs, or side effects, making it difficult for an agent to use 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 93 parameters and only 29% schema description coverage, the description must compensate by explaining parameter roles or groupings. It does not. It only mentions high-level concepts (systems, emitters, modules) without mapping to any actual parameter names or action-specific requirements.

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 identifies the tool's domain as Niagara particle systems, VFX, debug shapes, and GPU simulations, using specific verbs like 'create' and 'control'. It distinguishes itself from sibling tools by its focus on effects/particles, and is not a 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 provides clear context that this tool is for particle systems and VFX, making it obvious when to use it. It does not explicitly exclude alternatives, but the domain is specific enough that the agent can infer appropriate usage from the stated purpose.

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 says 'Create' and 'Configure' which implies mutation, but it doesn't disclose important behavioral traits such as whether existing assets are overwritten, required permissions, error handling, or side effects. Annotations are minimal (all false) and don't add context, so the description carries the burden and fails to provide sufficient 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 no filler words. It front-loads the core actions and resources, making it easy to scan. It earns its place and is appropriately sized for the tool's complexity.

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 (41 parameters, 20 actions), the description only covers a few categories and doesn't mention the diverse actions like set_default_pawn_class, configure_round_system, or get_game_framework_info. Without an output schema, the agent lacks context on return values. The description is too high-level to be complete for such a complex 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 description coverage is 78%, so most parameters are already explained in the schema. The description's high-level grouping (match flow, teams, scoring, spawning) maps to some parameters but doesn't add specific meaning beyond what the schema provides. With high coverage, a baseline of 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 clearly states the tool creates GameMode, GameState, PlayerController, and PlayerState Blueprints, and configures match flow, teams, scoring, and spawning. This distinguishes it from sibling tools like manage_blueprint by focusing on game framework elements. However, it doesn't enumerate the full range of 20 actions, leaving some ambiguity about the complete 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?

No explicit guidance is provided on when to use this tool versus alternatives like manage_blueprint or manage_character. The description implies it's for game framework setup but doesn't mention when it's appropriate or when to use a different tool. There are no exclusions or prerequisites described.

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 little behavioral context. It does not disclose that the tool can modify existing assets (e.g., set_attribute_base_value), whether it saves changes, or any side effects. The 'create' wording is inconsistent with the broader manage/set actions implied by the schema.

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, which is concise, but it under-specifies a complex tool with 68 parameters and 27 action types. It is closer to an underspecified placeholder than a genuinely concise overview.

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 68 parameters, 27 enumerated actions, and no output schema, the description is far from complete. It fails to mention the range of operations (create, set, configure, get) or any constraints, leaving the agent to infer the tool's full capabilities from the schema alone.

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 100%, so parameters are already well-documented. The description adds no additional parameter meaning beyond the schema. Baseline 3 is appropriate since the description does not compensate or add value.

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 identifies the GAS resource domain (abilities, effects, attribute sets, cues) but uses the verb 'create' which is misleading because the tool's actions also include set, configure, add, and get info. It does not distinguish from sibling tools like manage_effect or manage_combat, which may overlap.

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 exclusions, and no context about the variety of operations it supports. The description simply states the resource type without any practical usage direction.

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