Skip to main content
Glama
Verigent-AI

@verigent/mcp-server

Official
by Verigent-AI

get_result

Retrieve the full results of a completed verification run: per-dimension scores, composite score, tier, class, and VG key when attestation was included.

Instructions

Get the full results for a completed verification run. Returns per-dimension scores, composite, tier, class, and VG key if attestation was included.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
run_tokenYesRun token from the verification run

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.7.15

TDQS

A4/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses return fields and a conditional behavior (VG key only if attestation was included), but it does not explicitly state that the operation is read-only, what error cases exist, or what happens if the run is not completed.

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?

Two sentences with no filler. The purpose is front-loaded, and the return contents follow directly. Every word adds useful information.

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 one-parameter, read-style tool with no output schema, the description explains the key result fields and the attestation condition clearly. It is slightly incomplete around error behavior and explicit side-effect guarantees, but the core calling context is adequately covered.

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% and the only parameter, run_token, is already described as 'Run token from the verification run.' The description adds no new parameter-level meaning, so the baseline of 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?

The description names a specific verb and resource: 'Get the full results for a completed verification run.' It also enumerates the exact return contents (per-dimension scores, composite, tier, class, VG key), which distinguishes it from siblings like get_standings or get_tasks.

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?

The phrase 'for a completed verification run' gives a clear precondition and context: this tool is intended after a run has finished. It does not explicitly name alternatives or when-not scenarios, but the completed-run qualifier provides enough directional guidance.

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