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

Beyond the annotations (readOnly/idempotent/openWorld), it discloses material behavior: a rolling 8-week window, anonymity of counts, listings-per-search as a derived signal, trend direction, and a minimum-count suppression rule (groups under 10 searches are omitted). These are non-obvious traits an agent could not infer from the schema or 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 purpose and example queries are front-loaded, and the later sentences about output content and the suppression threshold each add information. It is dense but wastes little, with only minor overlap between the title and opening sentence.

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 carries the burden and does describe the returns (counts, listings per search, trend, easiest places per role) plus parameter-combination and suppression behavior. It stops short of explicit field-level return format, leaving a small gap for a 3-param analytics 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?

Schema coverage is 100%, so the baseline is 3; however the description adds genuine meaning by explaining the effect of omitting each of 'what' and 'where' (aggregated views by place or by role). This combination semantics goes beyond the per-field schema descriptions.

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 resource (anonymous weekly Job Spotter search counts by role and place) and reinforces it with two concrete example queries that make the tool's domain unmistakable. An agent can distinguish this demand/timing tool from listing-oriented siblings like search_jobs or whats_hiring from the description alone.

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 gives clear conditional usage: "Leave out what to get the most searched roles in a place... or where to get the places a role is searched most," which tells the agent how to steer the tool via parameters. It stops short of naming sibling tools or explicit when-not-to-use exclusions, so it is strong but not complete.

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