credit_ratings

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

No annotations provided, so description carries full burden. It mentions data source (SEBI filings) and output fields, but omits details on data freshness, rate limits, error handling, or confirmation that it's read-only. Adequate but not comprehensive.

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 with a clear purpose, context, output list, args, and examples. It front-loads the core function. Some marketing language about Bloomberg pricing is non-essential but not harmful. Efficient overall.

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 single-parameter tool with an output schema, the description covers the main use case and output fields. It lacks notes on error cases or data limits, but the presence of an output schema reduces the burden. Reasonably complete.

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%, but the description fully explains the 'symbol' parameter with examples (RELIANCE, TATAMOTORS, ADANIENT) and context (NSE stock symbol). This adds significant meaning 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 tool retrieves credit ratings for Indian listed companies from SEBI-mandated filings. It specifies the resource (credit ratings), context (Indian, SEBI), and distinguishes from sibling tools that deal with other financial data.

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 when to use this tool (need credit ratings, especially free alternative to Bloomberg) but does not explicitly contrast with siblings like company_profile or nse_quote that might also offer rating data. It provides clear context but lacks direct exclusions.

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