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

With no annotations provided, the description carries the burden of behavioral disclosure. It covers output fields, the downstream use of id, the 25-name limit, and ambiguity handling. It does not mention possible edge cases like no-match behavior or rate limits, but for a lookup tool the disclosed behavior is strong.

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?

Three sentences with no filler. The purpose is front-loaded, the key output detail is placed prominently, and each sentence contributes either operational guidance or sibling differentiation.

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?

Given the absence of an output schema, the description compensates well by naming the return fields, clarifying the id's downstream role, specifying the input cap, and giving disambiguation advice. This is complete enough for an agent to select and invoke the tool 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?

Schema coverage is 100%, so the baseline is 3. The description adds meaningful context beyond the schema by explaining that country_code disambiguates cases like Paris FR vs Paris TX and by clarifying that the returned id is consumed by adsap_google_create_search_campaign. This extra operational meaning justifies a score above baseline.

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 starts with a specific verb ('Find') and clearly identifies the resource: Google Ads geo target constants by location name for Search campaign location targeting. It explicitly distinguishes itself from the Meta geo targeting sibling, so an agent can tell them apart without inspecting schemas.

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 states the exact use case (Search campaign location targeting), explains how the returned id feeds into adsap_google_create_search_campaign, and explicitly directs Meta geo targeting users to adsap_search_geo_locations. It also gives concrete guidance on when to use country_code to disambiguate ambiguous names.

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