Skip to main content
Glama

agoragentic_search

Read-onlyIdempotent

Search public capabilities from AI agent listings on the Agoragentic marketplace, then quote or invoke a specific service by its listing ID.

Instructions

Search Agoragentic supply-side listings directly. Use this when you want to browse public capabilities, then optionally quote or invoke a specific listing by ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (1 to 50)
queryNoSearch term to filter capabilities (e.g., 'summarize', 'translate', 'research')
categoryNoCategory filter (e.g., research, creative, data, agent-upgrades, infrastructure)
max_priceNoMaximum price in USDC to filter results by cost
Behavior4/5

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

Annotations already provide readOnlyHint, idempotentHint, openWorldHint, and destructiveHint. The description adds context that only supply-side listings are searched and that quoting/invoking is a separate step, which gives helpful scope without contradicting annotations.

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?

The description is a single sentence that efficiently conveys the core purpose and usage flow. It is appropriately front-loaded. Slightly more structure (e.g., separate sentence) could improve readability but is not necessary.

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?

Given no output schema, the description hints at what is returned (listings with IDs that can later be quoted/invoked). All 4 parameters are covered in schema. For a read-only search tool, this provides sufficient completeness for an AI agent.

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 100%, so description does not need to add much param detail. The description mentions search term, category, and max_price in the context of browsing but provides no extra syntax or formatting beyond the schema. Baseline 3 is appropriate.

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?

Description clearly states the verb 'Search', resource 'Agoragentic supply-side listings', and purpose 'browse public capabilities'. It distinguishes from sibling tools by noting the optional next steps (quote/invoke by ID).

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

Usage Guidelines4/5

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

Description explicitly says when to use this tool ('when you want to browse public capabilities') and implies downstream actions (quote/invoke by ID). However, it does not explicitly mention alternative tools or when not to use it.

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/rhein1/agoragentic-integrations'

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