Skip to main content
Glama

metis_verify_tool

Run Metis cognition and verification on a question or task, returning an answer with verify score and status. Choose from fast, thinking, council, or agent routes to control depth.

Instructions

Run Metis cognition + verification on an input; returns answer plus verify_score/verified.

Calls the Metis /v1/verify API. Response includes machine-readable metadata [verify_score=… status=… route=… verified=…] so agents can fail-closed when confidence is insufficient. Configure AIMARKET_METIS_URL and optional AIMARKET_METIS_KEY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesQuestion or task for Metis to answer through its cognition + verification envelope. Example: 'Is 2+2=4?' or 'Summarize the MIT license in one sentence.'
routeNoMetis cognition depth: fast (single pass), thinking (deeper), council (multi-agent, default), agent (tool-using). Higher routes cost more latency but improve verify_score.council

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations, so description carries burden. It explains the response includes machine-readable metadata and fail-closed behavior. Could add more on error handling.

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?

Three short sentences, front-loaded with purpose, efficient.

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

Completeness5/5

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

Given schema and output schema, description adds configuration and behavioral notes. No major gaps.

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 baseline is 3. Description adds little beyond schema: mentions route enum options but schema already enumerates them.

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 it runs Metis cognition and verification, returns answer plus verify_score/verified, and names the API endpoint. Siblings are web tools, so no confusion.

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?

Describes configuration and that it calls a specific API, but does not explicitly state when to use or not use versus alternatives. However, context is clear enough.

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/alexar76/aimarket-mcp'

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