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

Annotations are absent, so the description must carry the burden of behavioral disclosure. It states the tool is free, ungated, and requires no attribution, which addresses access conditions. However, it does not disclose any side effects, rate limits, or the exact format of the response (though the URL hints at JSONL). For a simple read operation this is acceptable, but more explicit behavioral context (e.g., 'read-only') 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 moderately long but well-organized: the core purpose is stated first, then the direct-fetch alternative, then a note about corrections. Each sentence adds value. It could be trimmed, but it is not verbose and the structure is logical.

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 there is no output schema, the description does explain what is returned (terms, translations, reasoning). It also provides an alternative access method. However, it fails to explain the 'using' parameter and does not describe the response format (e.g., JSON vs. plain text). These gaps mean an agent may not know how to parse the result or why 'using' 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?

The input schema has two parameters: name and using. The description only clarifies 'name' (stating it changes nothing) and never mentions 'using' at all. With schema description coverage at 50%, the description should compensate for the undocumented parameter, but it doesn't. This leaves the 'using' parameter ambiguous, reducing the tool's usability for an agent.

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 states a specific deliverable: 148 Sanskrit terms with English translations and reasoning. It clearly names the resource (glossary of the Abhidharmasamuccaya) and the action (taking/fetching it). It also distinguishes itself from siblings like gift_correct by mentioning that corrections are handled separately, and it offers an alternative direct fetch URL, making its purpose unmistakable.

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 tells the agent it can bypass the tool entirely by fetching the JSONL URL, which is a clear alternative. It also implies that for corrections, the user should use the correction path (likely gift_correct), though it doesn't name that sibling explicitly. This is sufficient guidance for when to call this tool vs. alternatives.

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