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Glama

Get method

get_method
Read-onlyIdempotent

Retrieve an abliteration method by M-code to see counts, top authors, and sample models for catalog analysis.

Instructions

One M-code (GET /methods/{id}) with counts, top authors and sample models. Cost: 1 credit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesM-code, e.g. M1, M4, M5-frankenstein, M-uncensored.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnly, idempotent, openWorld), so the description's job is to add beyond that. It does: it discloses the cost ('1 credit') and the return shape (counts, top authors, sample models), both of which are absent from the structured fields.

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 short sentences, front-loaded with the resource and scope, followed by payload contents and cost. No filler or redundancy.

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?

With a single required parameter and no output schema, the description usefully previews what is returned and the credit cost. It is complete enough to invoke correctly, though it omits any guidance on when this beats search_models for the same data.

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 schema already explains the M-code format with examples, so the description adds nothing parameter-wise. Baseline 3 is appropriate when the schema carries the semantics.

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 verb+resource ('One M-code' / GET /methods/{id}) and even gives the endpoint, so the agent knows exactly what is fetched. It implies singularity versus the sibling list_methods, but does not name that sibling explicitly.

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?

Usage is only implied by 'One M-code', which suggests a single-record lookup rather than list_methods or search_models. No explicit when-to-use, when-not, or alternative routing is provided.

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