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

The annotations declare readOnlyHint=true, and the description adds that the tool returns counts of analyst ratings over time, which is consistent with a read-only operation. It does not contradict annotations, but it also does not disclose more detailed behavioral aspects such as response format, time periods covered, or any limitations. The REST endpoint hint provides some contextual value.

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, focused sentence that conveys the core function (analyst recommendation trends with counts by period) and includes the REST endpoint. It is front-loaded with the most important information and contains no unnecessary words, making it highly concise and well-structured.

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 tool has a single parameter and no output schema, and the description provides a high-level overview of the returned data (counts of recommendations by period). However, it does not specify the exact response structure, the granularity of periods (e.g., monthly, quarterly), or any edge cases. Since no output schema is present, the description should carry more weight to fully prepare the 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?

The schema already documents the single symbol parameter with a clear description ('Stock ticker symbol, e.g. 'AAPL' (required).'), and schema coverage is 100%. The tool description adds no additional meaning about the parameter, so it does not improve upon the schema. Baseline 3 applies.

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 function: providing analyst recommendation trends over time, specifically counts of strong buy/buy/hold/sell/strong sell by period. This specific verb+resource structure distinguishes it from sibling tools like finnhub_price_target, which focuses on price targets. The inclusion of the Finnhub REST endpoint further clarifies the exact data source.

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 does not provide any guidance on when to use this tool versus alternatives. There is no mention of scenarios, prerequisites, or exclusions. The agent must rely solely on the tool name and description to infer its applicability, which is insufficient for proper alternative selection.

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