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pdmtt

Brazilian Law Research MCP Server

by pdmtt
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Python
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Server Quality Checklist

67%
Profile completionA complete profile improves this server's visibility in search results.

  • Latest release: v1.0.0

  • Disambiguation5/5

    Each tool targets a distinct Brazilian superior court (STF, STJ, TST) with clear, non-overlapping purposes. The descriptions include specific court responsibilities, making it unambiguous which tool to use for each court.

    Naming Consistency5/5

    All tool names follow a consistent pattern: acronym of the court plus 'LegalPrecedentsRequest' (e.g., StfLegalPrecedentsRequest). The naming is predictable and uniform, aiding agent selection.

    Tool Count5/5

    Three tools is appropriate for querying legal precedents from three specific superior courts. The scope is narrow and well-defined, with no unnecessary tools.

    Completeness4/5

    The server covers the three main superior courts (STF, STJ, TST), which are essential for Brazilian law research. Minor missing courts (e.g., TSE, STM) could be considered gaps, but for a focused research tool, the coverage is adequate.

  • Average 3.4/5 across 3 of 3 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available

  • This repository is licensed under MIT License.

  • This repository includes a README.md file.

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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior2/5

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

    No annotations exist, so the description must fully disclose behavior. It mentions returning precedents based on criteria but omits side effects, auth requirements, rate limits, or limitations like only published decisions. The lengthy legal text adds no behavioral insight.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness2/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    The description is excessively long and includes redundant paragraphs (repeated in the schema description). Unnecessary legal background about STF's role wastes space and is not front-loaded with actionable information.

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

    Completeness2/5

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

    No output schema is provided, yet the description does not explain the return format, pagination behavior beyond the page parameter, or error cases. For a simple tool with two parameters, this missing context hurts completeness.

    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%, so the schema already documents parameters well. The tool description itself does not add parameter semantics beyond what's in the schema (the operator guide is part of the schema description). Baseline 3 is appropriate.

    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 clearly states that the tool requests legal precedents from the STF that satisfy given criteria. The resource (STF precedents) and verb (request) are evident, and the name distinguishes it from siblings for other courts.

    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 implied by the tool's purpose and sibling names (STJ, TST), but there is no explicit guidance on when to use this tool versus alternatives. No exclusion criteria or context-specific recommendations are provided.

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

  • Behavior2/5

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

    No annotations provided; the description does not disclose behavioral traits like side effects, authentication needs, or rate limits. Only vague context about TST's role is given, which is insufficient.

    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?

    Very concise: two sentences that effectively state purpose and background. No redundant or unnecessary information.

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

    Completeness2/5

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

    The description lacks information about the return format, pagination behavior, or any output details. Since no output schema exists, the description should compensate but does not.

    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 description coverage is 100%, so the schema already provides full parameter descriptions. The tool description does not add new semantic information beyond what is in the schema.

    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?

    Description clearly states the verb 'Requisição' and the resource 'precedentes judiciais do TST', and distinguishes from siblings (STF, STJ) by specifying TST.

    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 description implies when to use (for TST precedents) but does not explicitly state when not to use or compare to sibling tools. Usage guidance is implicit but not explicit.

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

  • Behavior2/5

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

    No annotations exist, and the description lacks behavioral details such as side effects, authentication, rate limits, or read-only nature, leaving the agent uninformed.

    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 appropriately structured with a clear first sentence, court context, and detailed parameter docs, though the court explanation is somewhat verbose.

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

    Completeness2/5

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

    Lacks output schema and does not describe return format, pagination behavior, or error handling, leaving significant gaps given the complexity of the tool.

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

    Parameters5/5

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

    Schema coverage is 100% and both parameters have detailed descriptions, especially the summary parameter which thoroughly explains query syntax with examples.

    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 clearly states it requests STJ judicial precedents matching given criteria, and the court description distinguishes it from sibling tools for STF and TST.

    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 description explains STJ's jurisdiction (infraconstitutional, federal law), implying when to use this tool, but does not explicitly exclude alternatives or provide when-not-to-use guidance.

    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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  • Evaluate tool definition quality.

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