analyst_daily_summary

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

With no annotations, the description carries the full transparency burden and succeeds: it discloses generation model, generation time, input data sources, caching, rate limit, empty-array behavior, and the exact output fields including nullability. This goes well beyond a basic 'returns summary' statement.

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 opening repeats the same idea twice ('Get today's AI-generated commentary' and 'Returns today's AI-generated daily commentary'), adding minor redundancy. Overall, however, the description is front-loaded and every subsequent sentence contributes concrete, useful information.

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 zero-parameter endpoint with no output schema and no annotations, this description is exceptionally complete: it covers generation cadence, input data, output field names and types, value ranges, auth requirements, caching, failure-before-9 behavior, and rate limits. An agent has everything needed to call and interpret the result correctly.

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 zero properties, so parameter semantics are not applicable; the baseline of 4 is appropriate. The description instead documents the response fields and their meanings, which is the relevant semantic information for this endpoint.

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, resource, and scope: 'Get today's AI-generated commentary for all 10 analysts.' It also specifies short 2-sentence summaries and distinguishes the result from the fuller authenticated Pro endpoint, making its purpose unambiguous relative to sibling summary/history tools.

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?

It explicitly identifies this as a public endpoint with no authentication required, notes that only shortSummary is returned, and points to the authenticated Pro endpoint for full commentary. It also gives operational boundaries such as empty results before 9:00 UTC and a 30-minute cache, which helps an agent decide when to call.

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