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 downloads a paper, implying it retrieves data, but doesn't cover critical aspects like whether it's a read-only operation, if it requires authentication, rate limits, error handling, or what the output looks like (e.g., file content or download link). For a tool with no annotations, this leaves significant gaps in understanding its 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, efficient sentence that directly states the tool's function and available formats. It's front-loaded with the core action and avoids unnecessary details, making it easy to parse quickly. Every word contributes to understanding the tool's 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?

Given the tool's moderate complexity (2 parameters, no annotations, no output schema), the description is incomplete. It covers the basic action and format options but lacks details on parameter usage, behavioral traits, output expectations, and differentiation from siblings. Without annotations or output schema, more context is needed for effective use by an AI agent.

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

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

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'PDF or TXT format', which aligns with the 'format' parameter's enum, adding some meaning. However, it doesn't explain the 'paper_id' parameter at all, leaving its purpose and format unclear. With 2 parameters and low coverage, the description adds limited value beyond the schema.

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

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

The description clearly states the action ('Download') and resource ('a paper'), specifying the available formats ('PDF or TXT format'). It distinguishes from sibling tools like 'get_paper_details' (which likely provides metadata) and 'search_papers' (which searches for papers), but doesn't explicitly differentiate them. The purpose is specific and actionable, though not fully contrasted with alternatives.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'get_paper_details' or 'search_papers'. It doesn't mention prerequisites, such as needing a valid 'paper_id', or contextual factors like availability of formats. Usage is implied by the action, but no explicit when/when-not instructions are given.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves details but doesn't describe what those details include, whether it's a read-only operation, potential error conditions (e.g., invalid ID), or performance characteristics. This leaves significant gaps for an agent.

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

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

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly.

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

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

For a tool with no annotations, no output schema, and low schema coverage, the description is inadequate. It doesn't explain what 'details' are returned, how errors are handled, or how this differs from sibling tools. More context is needed for effective use.

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

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

Schema description coverage is 0%, so the schema provides no parameter documentation. The description adds value by explaining that 'paper_id' identifies a specific paper, but it doesn't specify the ID format, source, or constraints. This partially compensates but leaves the parameter underspecified.

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 ('retrieve') and resource ('details of a specific paper'), making the purpose understandable. However, it doesn't distinguish this tool from its sibling 'search_papers' (which likely retrieves multiple papers based on criteria rather than a single paper by ID).

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 'search_papers' or 'download_paper'. It mentions retrieving by ID but doesn't clarify prerequisites (e.g., needing a paper ID from elsewhere) or exclusions (e.g., not for bulk retrieval).

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 but only states the basic function. It doesn't describe what the search returns (e.g., list of papers, metadata), whether it's paginated, rate-limited, or has authentication requirements, leaving significant gaps for a tool with 4 parameters and no output schema.

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

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

The description is a single, efficient sentence with zero wasted words. It's appropriately sized for a basic search tool and front-loads the core purpose without unnecessary elaboration.

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 (4 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain return values, error conditions, or parameter usage, making it inadequate for an agent to reliably invoke this tool without additional context or trial-and-error.

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 but adds no information about parameters. It doesn't explain what 'category', 'max_results', 'query', or 'year' mean, their formats, or how they affect the search, leaving all 4 parameters undocumented beyond their schema types.

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

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

The description clearly states the action ('Search for papers') and the target resource ('IACR Cryptology ePrint Archive'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'download_paper' or 'get_paper_details' beyond implying this is a search operation versus retrieval 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 like 'download_paper' or 'get_paper_details'. It doesn't mention prerequisites, exclusions, or contextual factors that would help an agent choose between these tools, leaving usage entirely implicit.

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