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Glama

plugin_verify

Verifies plugin loading and state roundtrip via isolated loads and two renders for instruments, capturing version, platform, binary, and untested capabilities.

Instructions

Isolated load and state roundtrip test, with two actual renders for instruments. Records version/platform/binary and distinct untested capabilities.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pluginYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral disclosure. It mentions two actual renders, which implies resource usage, but does not state whether the operation is read-only, whether it modifies the plugin or its state, what happens to the plugin, or what the output format is. 'Records version/platform/binary and distinct untested capabilities' is vague about side effects.

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, concise sentence that front-loads the core purpose. There is no filler, but it may be too terse given the tool's complexity; nevertheless, for conciseness it is well-formed.

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

Completeness1/5

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

Given the complex input schema (nested objects, multiple optional fields), the lack of an output schema, and no annotations, the description is grossly inadequate. It does not explain what constitutes a successful verification, what 'distinct untested capabilities' refers to, or any prerequisites for the plugin object. An agent cannot reliably call this tool correctly based solely on this description.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides zero information about the 'plugin' parameter or its nested fields. An agent would have to rely entirely on the schema, which is complex (with nested objects for automation, parameters, state_base64, etc.), but the description adds no semantic guidance about how to construct or use these fields.

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 specific action ('load and state roundtrip test') and the resource (plugins/instruments), and mentions recording version/platform/binary. It is clear about what the tool does but does not explicitly differentiate from sibling tools like plugin_inspect or plugin_preset_save, though the intent is evident.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives. It does not mention any context, prerequisites, or exclusions. The phrase 'isolated load and state roundtrip test' implies a testing scenario, but there is no explicit routing to this tool over others.

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