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Glama

verify

Re-measure the current mix and compare it with the pre-apply baseline to verify adjustments achieved the intended changes.

Instructions

Re-measure now and compare with the baseline taken before the first apply.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden for behavioral disclosure. It does explain that the tool re-measures and compares against a stored baseline, which suggests a non-mutating verification action. It does not state explicitly whether any state is saved, whether the operation is read-only, or what happens if no baseline exists.

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?

A single, front-loaded sentence communicates the action and the comparison target with no filler or redundancy. Every word contributes to the tool's meaning.

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 no-parameter tool with an output schema, the description is nearly complete: it identifies when to call it and what it compares against. It is slightly thin on preconditions such as what would happen if no baseline has been recorded or if no apply has been run.

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?

The input schema has zero parameters, so the baseline score of 4 applies. The description adds a useful semantic context—measuring against a baseline—but no parameter-level documentation is needed.

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?

The description states a concrete action—re-measure now and compare with a baseline—rather than merely repeating the name 'verify'. It is clear enough to be distinguished from siblings like 'measure' or 'compare', though it does not explicitly name them or state what verification confirms.

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 phrase 'before the first apply' implies this is meant for use after an apply step, giving a clear temporal context. However, it never explicitly says 'use this after apply' or contrasts it with sibling tools like 'measure' or 'compare', so the agent must infer the exact selection condition.

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