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brode_presets

List Brode presets, output formats and common conversion options with guidance for choosing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden. 'List' discloses that it is a read-only, informational operation, but it does not describe the return format, whether the list is exhaustive, or if any special prerequisites exist. It is adequate but minimal.

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?

The description is a single, well-structured sentence that directly states what is listed and mentions the added guidance. There is no redundant or vague wording; it is appropriately concise and front-loaded.

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 simple, parameterless reference tool with no output schema and no annotations, the description is nearly complete: it specifies what is listed (presets, output formats, conversion options) and that guidance is included. It does not explicitly describe the output structure, but that is largely implied by the word 'List'.

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 tool has zero parameters, so the baseline is 4. The description does not need to explain parameter details; it only describes the tool's output, which is sufficient.

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 uses a specific verb ('List') and a concrete resource ('Brode presets, output formats and common conversion options'), which clearly distinguishes it from the sibling tools (brode_convert, brode_download, brode_job_status). It states exactly what the tool provides, making its purpose unambiguous.

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 'with guidance for choosing' gives clear context that the tool helps users select presets/formats/options, implying it should be used before a conversion task. It does not explicitly mention alternatives or exclude cases, but the usage 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.

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TDQS

A4.2/5.0
Disambiguation5/5

Each tool has a distinct role in the conversion workflow: initiating a job, checking its status, downloading results, and listing available presets/formats. There is no overlap or ambiguity between tool purposes.

Naming Consistency4/5

All tools use the consistent brode_ prefix and snake_case, but two use verb-style names (convert, download) while two use noun-style names (job_status, presets). The pattern is predictable and readable, with only minor stylistic inconsistency.

Tool Count5/5

Four tools is well-scoped for a focused single-purpose conversion API. Each tool covers an essential part of the user journey: convert, check status, download, and discover presets.

Completeness5/5

The asynchronous conversion lifecycle is fully covered: initiate conversion, poll status, download output, and consult presets/options. Upload is handled through a documented external mechanism, which fits the tool design.

Resources