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AINumbers Fintech Intelligence Suite

MCP Developer Readiness Scorecard

score_mcp_readiness
Read-onlyIdempotent

Compute a composite MCP server ship-readiness score across tool definitions, server.json, OAuth, transport, tool poisoning, and spec compliance. Renders the interactive AINumbers tool as a widget; inputs are applied via the AIN Bridge and the tool runs client-side (zero PII, zero network). Output schema: call describe_tool("score_mcp_readiness").

Input Schema

NameRequiredDescriptionDefault
inputsNoMap of tool input element IDs to values (see manifest input_schema). Applied via AIN Bridge prefill.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -{
      -  "properties": {
      -    "overall": {
      -      "type": "number"
      -    },
      -    "sections": {
      -      "type": "array"
      -    }
      -  },
      -  "type": "object"
      -}New value: +null
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "overall": {
      +      "type": "number"
      +    },
      +    "sections": {
      +      "type": "array"
      +    }
      +  },
      +  "type": "object"
      +}
  4. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds valuable beyond-annotation context: it renders an interactive AINumbers widget, applies inputs via the AIN Bridge, runs client-side, uses zero PII and zero network, and points to describe_tool for the output schema.

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?

Three sentences, front-loaded with the purpose, followed by the execution model and output schema pointer. No filler or redundant restatement of annotations.

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?

Given the complexity, annotations, and lack of a formal output_schema, the description is largely complete: it names the scoring domains, explains client-side execution, and tells the agent how to retrieve the output schema. The main residual gap is sibling routing, but that is more a usage-guidance issue than missing contextual information.

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?

The single optional inputs object has 100% schema description coverage, so the schema already explains it as a map of tool input element IDs to values. The description only echoes the AIN Bridge prefill behavior and adds no additional parameter semantics beyond the schema.

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?

States a specific verb (compute), resource (composite MCP server ship-readiness score), and six assessment domains (tool definitions, server.json, OAuth, transport, tool poisoning, spec compliance). It is clear but does not distinguish itself from the near-identical sibling score_mcp_server_readiness or other MCP readiness diagnostics.

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 stated scope implies it is used for MCP server ship-readiness scoring, but there is no explicit when-to-use, when-not-to-use, or named alternative. This matters because the sibling list includes score_mcp_server_readiness, run_mcp_deployability_diagnostic, and lint_mcp_server_conformance.

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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