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

With no annotations, the description carries the full burden and does well: it discloses the algorithm (overlays alpha masks across all frames, measures full height plus thickness-filtered width), the output alignment ('feet-aligned', 'feet at origin'), and an automatic behavior (wide bodies like slimes get a rotated capsule). It stops short of failure modes beyond the frame-size constraint, so a 4 rather than 5.

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?

Front-loaded with the one-sentence purpose, then cleanly split into Args and Returns. The Returns block restates shape parameters and snippets that partly duplicate the existing output schema, which is the only 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?

For a six-parameter geometry tool with no annotations, the description supplies algorithm, defaults, constraints, per-parameter meaning, and output shape. An output schema exists, so the Returns listing is mild redundancy rather than a gap — nothing an agent needs in order to call it correctly is missing.

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

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

Schema coverage is 0%, so the description must do all the work — and it does, defining all six parameters: a concrete frames example, the two valid shape values (absent from the schema, which has no enum), the 'strictly greater than' alpha semantics, thickness_ratio's meaning and default of 0.30 with the rationale (filters thin weapons/arms), and project_root's role for res:// URIs.

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?

Opens with a specific verb and artifact ('Build a stable single-shape body collider for a moving character') and explicitly positions itself against the sibling extract_collision_polygon by naming which case each serves (moving characters vs static objects). An agent can select between them without reading either schema.

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

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

States 'This is the recommended collision tool for player/enemy movement' and routes static objects to extract_collision_polygon, giving an explicit use/use-instead pair. The constraint that all frames must share width and height is also stated up front.

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

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

No annotations are provided, so the description carries the full burden for a write operation. It does disclose that it writes a file to output_tscn and returns metadata including the collider details, which is useful. However, it never says whether an existing .tscn is overwritten, what happens if project_root lacks project.godot, or whether validation failures abort the write.

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?

Front-loaded one-line purpose followed by a clean Args block ordered consistently with the schema. Content is dense and mostly earns its place for an 11-parameter tool. The Returns section is largely redundant with the existing output schema and could be trimmed.

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 a rich output schema available, the description needn't explain return values, and it covers all 11 parameters including defaults. What remains missing for a file-writing scene builder is overwrite semantics and pipeline ordering relative to the sibling tools, but the core invocation details are present.

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% across 11 parameters, so the description must compensate, and it largely does: every parameter gets a sentence, defaults are restated, and alpha_threshold gains a 0..255 range and thickness_ratio an explicit meaning. The notable gap is collider_frames, described only as 'frame regions' with no indication of the object fields inside that array of objects.

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 a specific verb and artifact: writes a complete Godot 4 .tscn character scene containing an AnimatedSprite2D and a feet-aligned body collider. That distinguishes it from build_sprite_frames and build_body_collider, which produce the inputs rather than the assembled scene. It stops short of naming those siblings as prerequisites, so the boundary is inferable rather than 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?

Usage is only implied: the parameters reference a 'generated SpriteFrames .tres' and collider frames, hinting that build_sprite_frames and extract_collision_polygon/build_body_collider run first, but no ordering, preconditions, or alternatives are stated. Nothing says when not to use this tool or whether it should be run once per character.

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

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

With no annotations, the description carries the full burden and does well: it discloses that the output is a format=3 Godot 4 resource, that the image must be inside project_root because Godot requires a res:// URI, that each animation becomes an animations entry and each frame an AtlasTexture sub-resource, and that parent directories are created automatically. It stops short of stating overwrite behavior if the .tres already exists and says nothing about 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?

Structure is front-loaded with a one-line summary followed by Args/Returns sections, which makes it scannable. It is somewhat long and the Returns block partly duplicates the output schema, but nearly every sentence carries real information.

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

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

For a four-parameter write tool with no annotations, the description covers purpose, all parameter semantics, path scoping, sub-resource structure, and directory creation. An output schema exists so return values needn't be explained, yet they are — a minor redundancy. The one real gap is what happens when output_tres already exists.

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 entirely, and it does — all four parameters are documented, including a concrete JSON example for the nested animations structure and the defaults for fps (10.0), loop (true), and per-frame duration (1.0). The path-resolution rules for image_path and output_tres (absolute, relative-to-project, or res://) are spelled out rather than left to inference.

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

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

The opening sentence gives a precise verb+resource+target format: 'Create a Godot 4.x SpriteFrames .tres resource from atlas regions.' This is unambiguous and clearly distinct in domain from the sibling tools (inspect_spritesheet, extract_collision_polygon, build_body_collider, build_character_scene), though the description never explicitly names or contrasts with them.

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

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

Usage context is implied by the constraints ('The image must live inside project_root', path forms accepted for image_path and output_tres) rather than stated as when-to-use guidance. There is no explicit statement of when to pick this over inspect_spritesheet or build_character_scene, and no exclusions or prerequisites beyond the path-scoping rule.

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

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

With no annotations, the description carries the full burden and does well: it discloses the tracing algorithm (RDP), the clockwise winding, the hard 24-vertex cap and the internal tolerance escalation needed to enforce it. It does not say what happens on failure paths (missing file, no opaque pixels/alpha channel), which is the main remaining gap for a file-reading 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?

Purpose and the sibling alternative are front-loaded in the first three lines, then Args/Returns sections follow a predictable structure. It is on the long side, but every sentence adds either routing guidance or coordinate semantics; only the Returns block partially duplicates the output 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?

For a five-parameter computation tool with an output schema, the definition covers inputs, coordinate conventions, algorithmic limits and output shape. Missing only error/edge-case behavior (empty alpha, invalid path) and any note on cost for large images, which keeps it just short of complete.

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

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

Schema description coverage is 0%, so the description must compensate, and it documents all five parameters in detail: path forms accepted for image_path, the region dictionary shape and that returned coordinates are region-relative, epsilon as RDP tolerance with larger-means-fewer behavior, the centered offset math (x - w/2, y - h/2), and project_root's role for res:// resolution. This is meaning well beyond anything the schema conveys.

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

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

States a specific verb and resource ('Extract a simplified outer collision polygon from opaque pixels') and immediately scopes it to static objects and irregular scenery. It also names the sibling build_body_collider and the condition that selects it, so the tool is distinguishable from alternatives without opening any schema.

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

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

Explicitly says when to use this tool ('static objects and irregular scenery') and when not to ('moving characters and monsters'), pointing to build_body_collider as the alternative with the reason (stable feet-aligned RectangleShape2D or CapsuleShape2D). Nothing is left to inference.

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

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

No annotations are provided, so the description must carry the full behavioral burden. It describes the analysis method (alpha channel, threshold semantics, mode fallback), which is helpful, but does not explicitly state that the tool is read-only or non-destructive. An agent might infer safety from 'Inspect', but it is not confirmed, which is a notable gap without 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 well-structured with a summary, usage note, Args, and Returns sections, and is front-loaded with the core purpose. It is efficient, though the Returns section redundantly re-describes the output schema, adding some unnecessary length.

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 a 4-parameter tool with an output schema, the description covers parameter semantics, usage context, and return structure thoroughly. It lacks only an explicit safety/read-only statement, which is minor given the inspection nature and the presence of the output schema for return details.

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

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

Schema description coverage is 0%, but the description compensates fully by explaining all four parameters: image_path (accepted path forms), alpha_threshold (range, default, effect), mode (values and fallback behavior), and project_root (purpose for resolving URIs). Each parameter gains 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?

States a specific verb (inspect) and resource (PNG spritesheet) with the output (frame rectangles). It distinguishes itself from animation-building siblings by saying 'Use this tool before building animations,' but does not explicitly name the alternative tool, so an agent must infer the distinction from context.

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

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

Gives a clear context for use: 'before building animations when you need to discover the frame layout of a spritesheet.' It does not explicitly state when not to use this tool or name the sibling it should be used instead of, leaving some inference required.

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