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Search operations

search_tools
Read-onlyIdempotent

Ranks the Meta operations of this server by the words of the query against their names, titles and descriptions, and returns tool_name, the router that executes each one (null: called directly), title, summary, read_only and spend. Does not call Meta. Free.

Input Schema

NameRequiredDescriptionDefault
queryYesWords describing the task, e.g. pause ad or daily budget.
top_kNoHow many operations to return, 1 to 25. Default 10.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety burden is covered. The description adds two useful behavioral facts not in the annotations: it does not call the Meta API and it is free, which is exactly what an agent needs before a discovery call.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, front-loaded with the core action and followed by the return contract and the cost caveat. Dense but every clause carries information; no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description correctly enumerates the returned fields (tool_name, router with null meaning, title, summary, read_only, spend), which is the main completeness gap this tool would otherwise have. It is close to fully sufficient, missing only details like ranking order or what happens when top_k is omitted beyond the schema's stated default.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

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 goes further by explaining how 'query' is actually consumed — words are matched against operation names, titles and descriptions and used to rank results — which is semantic information the schema's example does not convey. Only top_k behavior is left entirely to the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: it ranks the server's Meta operations against query words and returns a defined set of fields. It is clearly distinguishable from siblings like get_tool_schema and start_here, though the 'Meta operations' scope could be read as excluding the non-Meta siblings (google_ads_*, audit_*, etc.).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than stated: an agent can infer this is a cheap discovery step ('Free', 'Does not call Meta'), but there is no explicit when-to-use guidance or routing against alternatives such as get_tool_schema or start_here.

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

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