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

The description richly discloses behaviors beyond the annotations: it identifies the data sources (private Telegram corpus, X archive), states that source rooms are never identified and no message text is returned, explains the corpus_through field for freshness, and warns about the bimodal distribution. It also reveals the cost ($0.03 USDC on Base), which is unusual and highly relevant. This far exceeds the readOnlyHint/openWorldHint annotations.

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 longer than typical but every sentence earns its place: it covers output fields, data source provenance, privacy guarantees, freshness indicator, distribution warning, and cost. It is front-loaded with the core purpose and then provides necessary caveats. The only minor redundancy is the cost mention repeated in parentheses, but the overall structure is logical and scannable.

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?

With no output schema, the description must explain the response, and it does: it lists first Telegram timestamp, first X timestamp, lead in minutes, room count, corpus_through, and the aggregate with median. It also warns about the bimodal distribution, which is critical for correct interpretation. It does not specify exact field names or data types, which is a minor gap, but overall it is quite complete for a single-parameter read-only tool.

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 single parameter 'token' is fully documented in the schema as 'Robinhood Chain token address 0x…'. The description does not add extra semantics for the parameter, such as address format requirements or how to obtain a valid address. Since schema coverage is 100%, the baseline of 3 applies; the description adds no meaningful parameter-specific information 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 states a specific verb and resource: 'Cross-venue first sighting for one Robinhood Chain token' and enumerates the exact outputs (first Telegram timestamp, first X timestamp, lead in minutes). It defines the sign convention (POSITIVE/NEGATIVE) and distinguishes itself from sibling tools that focus on general mentions or social momentum. The purpose is unambiguous and easily scoped.

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 usage when an agent needs to compare which venue first mentioned a token, but it does not explicitly contrast with sibling tools like robinx_mentions or robinx_social_momentum, nor does it state when NOT to use this tool. The caveat about bimodal distribution is interpretive guidance for reading results, not tool-selection guidance. There is clear context but no exclusions or alternatives mentioned.

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