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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It implies a mutation ('modify') but doesn't disclose permissions needed, whether changes are saved automatically, error conditions, or what happens if 'after_frame' is out of bounds. This leaves critical behavioral traits undocumented for a tool that modifies files.

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 core purpose in the first sentence, followed by parameter explanations. It's appropriately sized with no redundant information, though the Args section could be integrated more smoothly rather than as a separate block.

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

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

For a mutation tool with no annotations, no output schema, and 0% schema coverage, the description is incomplete. It lacks details on success/failure responses, side effects (e.g., file saving), and error handling, which are crucial for an agent to use this tool effectively in a workflow.

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

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

Schema description coverage is 0%, so the description must compensate. It explains both parameters: 'filename' as the file to modify and 'after_frame' as an optional 0-based index for insertion position. This adds meaningful context beyond the bare schema, though it could detail file format expectations or default behavior when 'after_frame' is omitted.

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

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

The description clearly states the action ('Add a new frame') and target resource ('to the Aseprite file'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its siblings like 'add_layer' or 'create_canvas', which would require mentioning it specifically handles frames rather than other file components.

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 doesn't mention prerequisites (e.g., file must exist), exclusions, or related tools like 'create_canvas' for starting a new file, leaving the agent to infer usage context independently.

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

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

With no annotations provided, the description carries full burden. It only states the action but does not disclose side effects (e.g., what happens if layer already exists), success/failure conditions, or any required permissions. This is insufficient for safe invocation.

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 clear argument listing. However, it could be more structured by presenting the purpose in a single sentence upfront and using a more standard parameter format.

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?

No output schema is provided, and the description does not mention return values, error handling, or preconditions. For a mutation tool, this leaves significant gaps in understanding what the agent should expect.

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 is the only parameter documentation. It provides a brief one-line description for each parameter but lacks details like file path format, layer naming constraints, or default values. Adequate but minimal.

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 adds a new layer to an Aseprite file, specifying the action, resource, and target. However, it doesn't differentiate from similar sibling tools like set_layer or ensure_layers_present, which could cause confusion.

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

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

No guidance on when to use this tool versus alternatives. The description lacks any context about prerequisites, when not to use it, or how it relates to other layer manipulation tools.

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

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

No annotations are provided, so the description carries full burden. It states this modifies a file ('to modify'), implying mutation, but doesn't disclose whether this overwrites existing palettes, requires file permissions, or has side effects. The description adds minimal behavioral context beyond the basic 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?

Perfectly front-loaded with the core purpose in the first sentence, followed by structured parameter details. Every sentence earns its place with no wasted words, and the parameter list is efficiently formatted.

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 2-parameter mutation tool with no annotations and no output schema, the description is minimally complete. It covers what the tool does and parameter options, but lacks details on behavioral consequences, error conditions, or return values. Given the complexity, it should provide more operational context.

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

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

Schema description coverage is 0%, so the description must compensate. It provides clear semantics for both parameters: 'filename' specifies the target file, and 'preset' lists all valid options (gameboy, gameboy-pocket, etc.). This adds essential meaning beyond the bare schema.

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

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

The description clearly states the specific action ('Apply a predefined palette') and target resource ('to an Aseprite file'). It distinguishes from siblings like 'create_palette' (makes new) and 'extract_palette_from_image' (extracts from image) by focusing on applying existing presets.

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

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

The description implies usage when you want to apply a preset palette to a file, but doesn't explicitly state when to use this vs alternatives like 'batch_apply_palette' (for multiple files) or 'remap_colors' (for custom color mapping). No prerequisites or exclusions 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions that the tool modifies files and has a backup option, but doesn't clarify important aspects like whether changes are destructive, what happens on errors, or if there are rate limits. The description is insufficient for a mutation tool with zero annotation coverage.

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

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

The description is efficiently structured with a clear purpose statement followed by parameter explanations. Each sentence adds value, though the parameter section could be more integrated with the main description rather than appearing as a separate block.

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 batch mutation tool with 4 parameters, 0% schema coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain the return value, error handling, or important behavioral constraints needed for safe operation. The tool modifies multiple files but lacks sufficient context for reliable 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 explanations for all 4 parameters, clarifying what each expects (e.g., 'palette_file' can be a path or preset name). However, it lacks details on format requirements, constraints, or examples that would fully compensate for the schema gap.

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

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

The description clearly states the action ('Apply a palette') and target resources ('multiple Aseprite files'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'apply_preset_palette' or 'remap_colors', which might have overlapping functionality.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'apply_preset_palette' or 'batch_process_custom'. It mentions basic parameters but doesn't explain prerequisites, appropriate contexts, or exclusions for usage.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool exports files but doesn't describe what happens during export (e.g., overwrites existing files, creates output directories, handles errors, or requires specific permissions). For a tool that modifies filesystem content (export implies writing files), this lack of detail on side effects, safety, or performance is a significant gap.

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

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

The description is well-structured and front-loaded: the first sentence states the core purpose, followed by a bulleted list of parameters with concise explanations. Every sentence earns its place, with no redundant or vague language. The two-part structure (overview + parameter details) is efficient and easy to parse.

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

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

Given the complexity (a batch file-processing tool with 5 parameters), lack of annotations, and no output schema, the description is partially complete. It covers the purpose and parameters well but misses behavioral details (e.g., file overwriting, error handling) and output information. For a tool that performs filesystem operations, this leaves gaps an agent would need to infer or test.

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

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

Schema description coverage is 0%, so the description must compensate. It adds meaningful context for all 5 parameters in the 'Args' section, explaining each parameter's purpose (e.g., 'input_dir: Directory containing input files'). This goes beyond the schema's minimal titles (e.g., 'Input Dir') and default values, providing clear semantics. However, it doesn't specify allowed values for 'format' beyond examples or constraints for 'scale' and 'file_pattern'.

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

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

The description clearly states the tool's purpose: 'Batch export multiple Aseprite files to another format.' It specifies the verb ('export'), resource ('Aseprite files'), and scope ('multiple'/'batch'), which is specific and actionable. However, it doesn't explicitly distinguish this batch export tool from sibling tools like 'export_sprite' or 'export_layers', which likely handle single exports or different export scopes.

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 doesn't mention sibling tools like 'export_sprite' (likely for single files) or 'batch_process_custom' (possibly for other batch operations), nor does it specify prerequisites, constraints, or typical use cases. The only implied usage is for batch exporting, but this is redundant with the purpose 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?

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool applies scripts to files, implying mutation, but doesn't describe what happens to original files, whether changes are reversible, execution order, error handling, or output behavior when output_dir is null. This leaves significant gaps for a batch processing tool.

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

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

The description is efficiently structured with a clear purpose statement followed by a well-organized parameter explanation. Every sentence earns its place, though the parameter explanations could be slightly more detailed about expected formats or constraints.

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 batch processing tool with 4 parameters, 0% schema coverage, no annotations, and no output schema, the description provides adequate parameter semantics but lacks crucial behavioral context about mutation effects, error handling, and output behavior. It's minimally viable but has clear gaps given 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?

With 0% schema description coverage, the description compensates well by explaining all 4 parameters in the Args section. It clarifies input_dir contains source files, lua_script executes on each file, output_dir is optional for modified files, and file_pattern defaults to '*.aseprite'. This adds substantial meaning beyond the bare schema.

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

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

The description clearly states the action ('Apply a custom Lua script') and target resource ('multiple Aseprite files'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like batch_export or batch_resize, which also process multiple files but with different operations.

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. With sibling tools like batch_export and batch_resize available, there's no indication of when custom Lua scripting is preferred over those specific operations, nor any prerequisites or constraints 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?

With no annotations provided, the description carries full burden but lacks critical behavioral details: it doesn't specify if files are overwritten, if the operation is destructive, what happens on errors, or performance characteristics. It mentions 'batch' but not concurrency or progress reporting.

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 efficiently structured with a clear purpose statement followed by parameter explanations. Every sentence adds value, though the parameter list format is slightly verbose. It's appropriately sized for a 7-parameter tool.

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

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

For a batch processing tool with 7 parameters and no annotations or output schema, the description covers the core operation and parameters adequately but lacks behavioral context (error handling, side effects) and output expectations. It's minimally viable but has clear gaps.

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 compensates by explaining all 7 parameters clearly, including optionality, defaults, and relationships (e.g., scale as alternative to width/height). It adds meaningful context beyond schema titles, though some nuances like unit constraints remain implicit.

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 specific action ('batch resize') and resource ('multiple Aseprite files'), distinguishing it from sibling tools like 'batch_export' or 'batch_apply_palette' which perform different operations. It precisely communicates the tool's function without redundancy.

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 'batch_export' or 'batch_process_custom', nor does it mention prerequisites, constraints, or typical scenarios for batch resizing. Usage context is implied but not explicitly stated.

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

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

No annotations are provided, so the description bears the full burden of behavioral disclosure. It states it creates a new canvas but does not discuss overwrite behavior if the file exists, error handling for invalid dimensions, or side effects like file system writes. The return value is not described.

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: one introductory sentence followed by a clear list of arguments. No extraneous information, and each 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?

For a simple creation tool, the basics are covered, but it lacks details on what happens on success (e.g., is the canvas opened in the UI?), error cases, and file overwrite policy. With no output schema, more context would be helpful.

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 properties have no descriptions (0% coverage). The description compensates by explaining each parameter: width and height are pixels, filename defaults to 'canvas.aseprite'. This adds essential meaning beyond the schema alone.

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

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

The description clearly states it creates a new Aseprite canvas with specified dimensions. The verb 'Create' and resource 'canvas' are specific, and the tool is distinct from siblings like 'crop_canvas' or 'resize_canvas' which modify existing canvases.

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 implicitly indicates creation of a new canvas, but does not provide explicit guidance on when to use vs. alternatives like importing an image or modifying an existing canvas. No conditions or exclusions are stated.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states 'Create or replace' which implies mutation but doesn't clarify permissions needed, whether it overwrites existing palettes, error conditions, or what happens on success/failure. This leaves significant gaps for a write operation.

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

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

The description is efficiently structured with a clear purpose statement followed by parameter explanations. Every sentence adds value, and it's appropriately sized for a tool with three parameters. No wasted words or 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?

For a mutation tool with no annotations and no output schema, the description covers parameters well but lacks behavioral context (e.g., what happens when palette_name is null, error handling, or return values). It's minimally adequate but has clear gaps given the 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?

The description provides clear semantic explanations for all three parameters beyond the schema's 0% coverage: 'filename' as the file to modify, 'colors' as a list of hex codes with an example, and 'palette_name' as optional. This compensates well for the schema's lack of descriptions.

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

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

The description clearly states the action ('Create or replace a palette') and target resource ('in an Aseprite file'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'apply_preset_palette' or 'extract_palette_from_image', but the core functionality is well-defined.

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 'apply_preset_palette' or 'batch_apply_palette'. It also doesn't mention prerequisites (e.g., file must exist) or when not to use it (e.g., for reading palettes). The context is implied but not explicit.

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

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

With no annotations, the description carries the full burden. It mentions drawing a circle but does not disclose whether it overwrites existing content, blends, or creates new layers. The side effects (e.g., modifying the file) are implicit but not explicit.

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: one sentence plus a parameter list. It is well-structured and avoids unnecessary words, though the parameter list could be integrated more naturally.

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 drawing tools among siblings, the description is minimal. It does not mention the current layer or frame context, nor does it describe the return value or success conditions. The default values for color and fill are provided, but more context would be helpful.

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 meaningful explanations for each parameter (e.g., 'center_x: X coordinate of circle center'), which the input schema lacks (schema coverage 0%). This adds value beyond the schema properties that only have titles.

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

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

The description clearly states that the tool draws a circle on the canvas, specifying the verb and resource. However, it does not differentiate from sibling tools like draw_circle_at, which likely has a similar purpose.

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

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

No guidance is provided on when to use this tool versus alternatives (e.g., draw_ellipse_at, draw_rectangle). There is no mention of prerequisites or context such as current layer or frame.

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 exist, and the description does not disclose side effects, coordinate system, or behavior when parameters are out of bounds. Minimal transparency beyond the basic 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?

Succinct first sentence followed by a well-organized Args list. No extraneous 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?

Provides parameter details but lacks behavioral context (e.g., pixel replacement, canvas bounds). With no output schema, more completeness would be beneficial.

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 Args section thoroughly explains each parameter, including defaults for color and thickness, and the meaning of filename. This compensates for the 0% schema description 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 'Draw a line on the canvas,' specifying the verb and resource. Among many drawing sibling tools, this uniquely identifies the action of drawing a line.

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 like draw_path or draw_rectangle. No prerequisites or contextual cues provided.

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

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

No annotations provided, so description must carry full burden. It fails to disclose whether pixels overwrite or blend, what happens with out-of-bounds coordinates, or if any prerequisites exist. The description is too minimal 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?

Extremely concise: one sentence for purpose followed by a clean Args list. No unnecessary words, and the structure is front-loaded and scannable.

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

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

For a simple 2-parameter tool with no output schema, the description covers parameter usage adequately. However, it lacks behavioral context (e.g., layer interaction, result feedback) that would help an agent use it correctly in complex workflows.

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 0% schema coverage, the description clearly documents both parameters, including the expected structure for pixels (x, y, color with hex format). This adds significant value beyond the schema's bare titles.

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

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

The description clearly states it draws pixels on a canvas with specified colors, using a verb and resource. It distinguishes from siblings like draw_circle or draw_line by specifying it draws individual pixels from a 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?

No guidance on when to use this tool versus alternatives like draw_pixels_at or draw_line. Missing context on when it's appropriate to use pixel-level drawing.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool modifies an Aseprite file, implying mutation, but doesn't address permissions, whether changes are destructive/reversible, error conditions, or side effects. This is inadequate for a mutation tool with zero annotation coverage.

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

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

The description is efficiently structured with a brief purpose statement followed by a parameter list. Every sentence adds value, and it's appropriately sized for the tool's complexity. Minor improvement could come from front-loading more critical context before the parameter details.

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

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

For a mutation tool with 7 parameters, no annotations, and no output schema, the description is minimally adequate. It covers the basic purpose and parameters but lacks behavioral context, error handling, output expectations, and sibling differentiation. Completeness is borderline given the tool's complexity and missing structured data.

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 clear semantics for all 7 parameters, explaining what each represents (e.g., 'Top-left x coordinate', 'Hex color code') and noting defaults for 'color' and 'fill'. This adds significant value beyond the bare schema, though it could benefit from format details like coordinate systems.

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 ('Draw a rectangle') and target ('on the canvas'), specifying the exact operation. However, it doesn't explicitly differentiate from sibling tools like 'draw_circle' or 'draw_line' beyond the obvious shape difference, missing guidance on when to choose rectangle over other drawing 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 guidance is provided on when to use this tool versus alternatives like 'draw_circle', 'draw_line', or 'fill_area'. The description lacks context about prerequisites (e.g., canvas must exist), typical use cases, or comparisons with sibling tools, leaving the agent without 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the action ('Export') but fails to describe permissions needed, whether files are overwritten, error handling, or output behavior (e.g., file naming conventions). This is inadequate for a tool that modifies the filesystem.

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 core purpose in the first sentence, followed by a structured Args section. Every sentence adds value—no fluff or repetition. It's appropriately sized for a tool with four 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?

Given no annotations, no output schema, and 0% schema description coverage, the description is moderately complete. It covers parameters well but lacks behavioral context (e.g., side effects, errors) and output details. For a filesystem-modifying tool, this leaves gaps in understanding the full 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?

Schema description coverage is 0%, but the description compensates by explaining all four parameters in the Args section, adding meaning beyond the schema's titles. It clarifies 'filename' as the Aseprite file, 'output_dir' as the save location, and provides defaults for 'format' and 'scale'. However, it lacks details on parameter constraints (e.g., valid formats).

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 specific action ('Export each layer of the sprite as a separate file') with the resource ('Aseprite file'), distinguishing it from sibling tools like 'export_sprite' (which likely exports the entire sprite) and 'batch_export' (which may handle multiple files). It uses precise verbs and specifies the scope of the operation.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'export_sprite' or 'batch_export'. It lacks context about prerequisites (e.g., file must exist), exclusions, or comparisons to sibling tools, leaving the agent to infer usage 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?

With no annotations, the description carries full burden but only states the basic export action. It doesn't disclose permissions needed, file overwriting behavior, error handling, or output specifics, leaving significant gaps for a mutation tool.

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

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

The description is efficiently structured with a brief purpose statement followed by a bulleted parameter list. Every sentence earns its place, and information is front-loaded appropriately.

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

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

For a mutation tool with no annotations or output schema, the description covers parameters well but lacks behavioral context like side effects or return values. It's partially complete but has notable gaps given the 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 0%, but the description compensates well by explaining all 5 parameters with clear semantics, defaults, and examples (e.g., format inference, frame range syntax). It 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 clearly states the tool exports an Aseprite file to another format with a specific verb ('Export') and resource ('Aseprite file'). It distinguishes from siblings like 'batch_export' by focusing on single-file export, though not explicitly contrasting 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?

No guidance on when to use this tool versus alternatives like 'batch_export' or 'export_layers' is provided. The description implies usage for single-file exports but lacks explicit context 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions that the tool extracts a palette from an Aseprite file and optionally saves it, but lacks critical details: whether it modifies the original image, what permissions or file access are needed, error handling (e.g., if the file doesn't exist), rate limits, or the format of the extracted palette (e.g., RGB values, hex codes). This is inadequate for a mutation-like tool with zero annotation coverage.

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

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

The description is appropriately sized and front-loaded: the first sentence states the core purpose, followed by a clear 'Args:' section listing parameters with brief explanations. There's no wasted text, though it could be more structured (e.g., bullet points). Every sentence adds value, making it efficient for an AI agent to parse.

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

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

Given the complexity (a tool that processes image files to extract data), lack of annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects (e.g., side effects, error cases), output details (what the extracted palette looks like), or full parameter semantics. For a 3-parameter tool with 0% schema coverage and no annotations, this minimal description is insufficient for reliable agent 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 adds some semantics: 'filename' is the Aseprite file to extract from, 'max_colors' limits the palette size with a default of 16, and 'output_filename' optionally saves the palette. However, it doesn't explain parameter constraints (e.g., valid file paths, integer ranges for max_colors, output file formats) or interactions (e.g., if output_filename is null, what happens?). This partially compensates but leaves gaps.

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

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

The description clearly states the tool's purpose: 'Extract a color palette from an existing image.' It specifies the verb ('extract') and resource ('color palette'), and distinguishes it from sibling tools like 'create_palette' or 'get_palette_info'. However, it doesn't explicitly differentiate from 'apply_preset_palette' or 'batch_apply_palette', which are related but distinct operations.

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 doesn't mention sibling tools like 'get_palette_info' (which might retrieve palette metadata) or 'create_palette' (which might generate a palette from scratch), nor does it specify prerequisites (e.g., the image must be in Aseprite format) or exclusions (e.g., not for modifying palettes). Usage is implied only by the tool name and basic description.

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

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It implies a mutation ('modify') but doesn't disclose side effects (e.g., overwriting existing pixels, layer selection), error conditions, or output format. The mention of 'tolerance' hints at color matching behavior, but overall transparency is inadequate for a tool with 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 front-loaded with the core purpose, followed by a structured Args list. However, the Args section is somewhat redundant as it repeats schema information without adding high-value insights (e.g., explaining coordinate systems or tolerance effects). It's efficient but could be more streamlined by integrating parameter details into the narrative.

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

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

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks critical details: what happens on success/failure, whether changes are undoable, how it interacts with layers or frames, and what the return value is. The parameter explanations help, but overall context is insufficient for safe and 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%, but the description compensates well by explaining all 5 parameters in the Args section. It clarifies that 'filename' is for an Aseprite file, 'x' and 'y' are coordinates to fill from, 'color' is a hex code with a default, and 'tolerance' defines a 0-255 range for color matching. This adds meaningful context beyond the bare schema.

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

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

The description clearly states the action ('fill an area with color') and the mechanism ('using the paint bucket tool'), which distinguishes it from other drawing tools like draw_circle or draw_rectangle. However, it doesn't explicitly differentiate from potential color manipulation siblings like remap_colors or apply_preset_palette, keeping it at a 4 rather than 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 doesn't mention prerequisites (e.g., needing an existing Aseprite file), compare to other drawing tools, or specify use cases like filling bounded regions versus general coloring. This lack of contextual direction limits its utility for an AI agent.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool inspects a file but doesn't mention whether it's read-only, what happens if the file doesn't exist, error handling, or output format. This leaves critical behavioral traits unspecified for a tool that interacts with files.

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 appropriately sized and front-loaded, with the core purpose stated first in a clear sentence. The Args section is structured but could be more integrated; overall, it's efficient with minimal waste, though slight improvements in flow are possible.

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 file inspection, lack of annotations, and no output schema, the description is incomplete. It doesn't explain what information is returned (e.g., palette colors, size), error conditions, or dependencies, making it inadequate for an agent to use the tool effectively without guesswork.

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 adds basic semantics for the single parameter ('filename: Name of the Aseprite file to inspect'), which is helpful since schema description coverage is 0%. However, it doesn't provide details like file format requirements, path handling, or examples, limiting its value beyond the bare minimum.

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

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

The description clearly states the tool's purpose with a specific verb ('Get information') and resource ('current palette in an Aseprite file'), making it easy to understand what it does. However, it doesn't explicitly differentiate from sibling tools like 'extract_palette_from_image' or 'apply_preset_palette', which prevents a perfect score.

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 doesn't mention prerequisites (e.g., file must exist), exclusions, or comparisons to siblings like 'extract_palette_from_image' for different palette-related tasks, leaving the agent with insufficient context for optimal 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions modification ('Remap colors') which implies mutation, but doesn't specify permissions needed, whether changes are reversible, file format constraints, or error handling. This leaves significant gaps for a tool that modifies files.

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 efficiently structured with a clear purpose statement followed by parameter explanations. The example for 'color_map' is helpful and concise. However, the formatting with 'Args:' could be slightly more polished.

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

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

For a mutation tool with no annotations and no output schema, the description provides basic purpose and parameter semantics but lacks important behavioral context like error conditions, file format requirements, or what constitutes success. It's minimally adequate but has clear gaps.

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 clear semantic information about both parameters: 'filename' identifies the target file, and 'color_map' is explained with an example dictionary format. Since schema description coverage is 0%, this description effectively compensates by adding meaningful context beyond the bare schema.

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

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

The description clearly states the verb ('Remap') and resource ('colors in an Aseprite file'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'apply_preset_palette' or 'batch_apply_palette', which also involve palette/color modifications.

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

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

No guidance is provided on when to use this tool versus alternatives like 'apply_preset_palette' or 'batch_apply_palette'. The description only states what the tool does, without context about prerequisites, use cases, or exclusions.

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