Skip to main content
Glama

Search Targeting Interests

meta_search_targeting_interests
Read-onlyIdempotent

Search for interest-based targeting options for ad sets by entering keywords. Retrieve interest IDs and names to use in ad targeting.

Instructions

Searches for interest-based targeting options for ad sets.

Args:

  • q (string): Search query (e.g., "yoga", "cooking")

  • limit (number): Max results (default 50)

Returns: Interest IDs and names to use in ad set targeting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesInterest search query
limitNo
response_formatNoOutput format: 'markdown' for human-readable or 'json' for machine-readablemarkdown
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds that it returns interest IDs and names, which is useful behavioral context beyond the annotations.

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

Conciseness5/5

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

The description is extremely concise with a single sentence for purpose, followed by structured args and returns. No unnecessary words, front-loaded with the core action.

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?

For a search tool with simple parameters and good annotations, the description adequately explains what it does and what it returns. It does not mention pagination or result limits, but overall it is complete enough given the tool's simplicity.

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

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 67% (2 of 3 params described in schema). The description adds examples for 'q' and restates default for 'limit', but does not address 'response_format'. This provides marginal value over the schema.

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

Purpose5/5

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

The description clearly states it searches for interest-based targeting options for ad sets, with a specific verb ('searches') and resource. This distinguishes it from sibling tools like meta_search_targeting_demographics or meta_browse_targeting_categories.

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?

The description implies usage for interest targeting but provides no explicit guidance on when to use this tool versus alternatives like demographic or geographic searches. The sibling tools are numerous, but no comparison or exclusion is mentioned.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/oliverames/meta-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server