check_venue_quality

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

No annotations are provided, so the description must disclose behavior. It states the outputs but does not mention potential errors (e.g., venue not found), rate limits, or authentication needs. The description implies a read-only query, but more detail on what happens with invalid input would improve transparency.

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

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

The description is two sentences, front-loaded with the core action and outputs. Every sentence is informative and necessary, with no 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?

The description explains the return values (h-index, citation impact, indexing status) but lacks detail on format (e.g., whether citation impact is a percentile or number) and does not handle edge cases like missing venue. Given no output schema, this is adequate but not thorough.

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

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

Schema description coverage is 100%, so the baseline is 3. The description does not add additional parameter-level meaning beyond what the schema already provides (e.g., it doesn't clarify that at least one parameter should be provided or which combination is preferred).

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: checking quality and prestige metrics of a journal or conference, listing specific outputs (h-index, citation impact, indexing status) and a concrete use case. This distinguishes it from sibling tools that focus on authors, works, or trends.

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 advises when to use the tool ('Use before citing a paper to confirm the venue is reputable'), providing clear context. It lacks explicit exclusions or alternatives, but the guidance is direct and helpful.

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