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

No annotations provided; description notes the link is temporary but lacks details on failure modes, authorization, or other behavioral traits. Adequate but minimal.

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

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

Two sentences, no unnecessary words, front-loaded with purpose and follow-up usage instruction.

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

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

Simple tool with one parameter and no output schema; covers primary use case and temporary nature. Could briefly mention error handling but sufficient.

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?

Only parameter request_id has no schema description (0% coverage); description adds value by specifying it comes from get_task_status, clarifying expected input.

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 retrieves a download URL for a generated presentation, using specific verb 'Get' and resource 'download URL'. It distinguishes itself from sibling generation 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?

Explicitly instructs to use request_id from get_task_status after task completion, providing clear when-to-use context and referencing sibling tool.

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

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

With no annotations, the description fully discloses the async behavior (returns task_id, requires polling). It also explains the resulting structure. However, it does not discuss error scenarios, rate limits, or authentication needs, which would elevate transparency further.

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 front-loads essential usage information and follows with a well-organized parameter list. While the parameter list is verbose, it is necessary given the tool's complexity and lack of schema descriptions. It could be slightly more concise.

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

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

Given the tool's complexity (21 parameters, async pattern), the description covers purpose, workflow, parameter roles, and related tools. It lacks error handling details or explicit comparison with generate_slide_by_slide, but is largely complete for typical 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?

Since schema coverage is 0%, the description provides comprehensive parameter details including types, defaults, and explainer comments (e.g., 'plain_text: The topic to generate a presentation about'). This adds meaningful context beyond a 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 generates a PowerPoint from text using a template, and distinguishes itself from siblings like download_presentation and get_task_status by explaining the async workflow and subsequent steps.

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

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

The description explicitly instructs the agent to poll getTaskStatus for completion and to use downloadPresentation with the request_id. It mentions alternatives like download_presentation, but does not fully contrast with generate_slide_by_slide. Overall, the async usage pattern is clearly defined.

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?

Discloses asynchronous behavior (returns task_id immediately) and polling requirement, no contradictions with annotations (none provided).

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

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

Well-structured with clear sections, bulleted parameters, and layout list; every sentence is informative and necessary.

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

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

Covers all essential aspects: async workflow, parameter details, layout options with item constraints, and return value; no gaps given 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?

Adds extensive meaning beyond the skeletal schema: explains template as name or ID, language codes, fetch_images default, and slide structure with layout constraints and item amounts.

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

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

Clearly states it generates a PowerPoint presentation using Slide-by-Slide input, distinguishes from sibling tools like generate_powerpoint and links to getTaskStatus for async workflow.

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 instructs the agent to poll with getTaskStatus after calling, including the importance of waiting for SUCCESS or FAILED status.

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 high-level action. It does not disclose behavioral traits such as read-only nature, output structure, or any limits, leaving the agent to infer basic retrieval 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 a single, front-loaded sentence with no unnecessary words. It is maximally concise while conveying the core purpose.

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

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

Despite the tool's simplicity, the description omits what the output looks like (e.g., list of template IDs/names) and any additional context about the templates. With no output schema, the description should compensate, 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?

The input schema has zero parameters, so schema description coverage is 100%. The description adds no parameter information, which is acceptable given no parameters exist. Baseline for zero parameters is 4.

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 'Get' and the resource 'available presentation templates', with no ambiguity. It distinguishes itself from sibling tools, which are for downloading, generating, or uploading, not listing templates.

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

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

No explicit when-to-use or alternative guidance is provided. The usage is implied as a preliminary step before generating or downloading a presentation, but the description does not state this context.

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

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

The description discloses the returned fields (user_name and remaining credits) and implies a read-only, safe operation. No annotations exist, so it carries full burden, but it lacks details about possible failures or rate limiting.

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

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

Single sentence, no wasted words, clearly front-loaded with purpose and output 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 simple, parameterless tool with no nested objects or enums, the description fully covers its purpose and output. No output schema but description compensates.

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?

Input schema has 0 parameters, so description adds no param info. With schema coverage at 100%, baseline is 4; no extra credit needed.

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

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

Description clearly states verb 'Get', resource 'current API key', and outputs 'user_name and remaining credits'. It's distinct from sibling tools which deal with presentations and templates.

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 vs alternatives, but the specific purpose implies it's for querying API key details. Siblings are very different, so confusion is unlikely.

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

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

No annotations are provided, so the description carries the full burden. It explains the possible statuses, the result structure (request_id, presentation_id, error details), and implies it is a read-only polling operation. No contradictions or missing critical behaviors are apparent.

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

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

The description is concise and well-structured. It opens with the main purpose, then adds usage guidance and a list of statuses. Every sentence adds value, and the list is formatted for easy parsing.

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

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

Given a single required parameter, no output schema, and the tool being part of a workflow with a sibling download tool, the description sufficiently covers how to use the tool and what to expect. The status explanations and next-step instructions make it complete for the agent's decision-making.

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

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

The only parameter, 'task_id', is described in the schema title but with 0% schema description coverage. The description states 'by task ID', which conveys the parameter's purpose. However, it does not explain where the task_id originates or expects additional context. Still, it is adequate for a single parameter.

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 tool name 'get_task_status' is clear, and the description states: 'Get the current task status and result by task ID.' It also lists possible statuses, which adds clarity. The tool is distinct from siblings like download_presentation or generate_powerpoint, making its purpose unambiguous.

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

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

The description explicitly provides guidance on when to poll and what to do with the result: 'If status is PENDING, SENT, or PROCESSING, poll again... When the task completes, the result will contain a request_id. Use the request_id with the downloadPresentation tool.' This gives clear instructions for proper 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, and the description only states it returns a task_id, implying asynchronous processing. It lacks details on side effects, authentication requirements, rate limits, or what happens to the file after upload.

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

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

The description is extremely concise, with only two sentences that convey essential information without any extraneous content. Every sentence is necessary.

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

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

Given no output schema and only one parameter, the description is adequate but incomplete. It mentions the return of a task_id but does not explain how to interpret it or what the task does. It also lacks guidance on file size limits or error handling.

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

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

The input schema has 0% description coverage, so the description's mention of supported file types adds some value. However, it does not explain the file_path parameter semantics (e.g., path format, existence checks), leaving the agent to infer from the name 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 that the tool uploads a document file and returns a task_id for processing, which differentiates it from sibling tools like download_presentation or generate_powerpoint. However, it could be more specific about what 'processing' entails.

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?

Supported file types are listed, implying when the tool can be used, but there is no explicit guidance on when to use this tool versus alternatives like generate_powerpoint or direct file operations. No exclusions or prerequisites are mentioned.

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