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

Goes well beyond the annotations by disclosing cost (~$0.06 default call, billed with margin), the budgetUsd cap (default 2, max 10), the chargedUsd return field, and the write-scope requirement. It does not explain why the tool carries destructiveHint=true beyond spending credit, which is a minor remaining gap.

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?

Front-loads the core purpose in the first clause, then layers scale limits and the alternative before the cost details. Dense but each clause carries information; slightly crammed into two long sentences.

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 2-param tool with an output schema and annotations covering the safety profile, the description covers purpose, scale, cost, budget control, and alternative routing. The only omission is the rationale for the destructive/write flag.

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 100%, so both parameters are already documented in structured form, including the budgetUsd default/max that the description repeats. The description adds the 'in seconds' timing nuance and the chargedUsd output hint, but adds little parameter 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?

States a specific verb and resource: measures how much X is talking about 1-6 phrases, and enumerates outputs (7-day volume, per-day counts, velocity, sample posts, wave flag). It explicitly distinguishes itself from the sibling x_pulse ('to learn what people are saying, use x_pulse').

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?

Names the alternative tool (x_pulse) and the exact condition that selects it (qualitative content vs. counts). Also bounds scope ('counts only, in seconds') so an agent knows what this tool will not return.

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