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Fidensa MCP Server

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Search Fidensa Certified Capabilities

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Search for certified AI capabilities by keyword or description. Discover certified alternatives when a capability is uncertified or scores poorly.

Instructions

Search for certified AI capabilities by keyword or description. Use this to discover certified alternatives when a capability is uncertified or scores poorly. Supports filtering by type, tier, and minimum trust score. No API key required.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query (natural language or keywords)
typeNoFilter by capability type
tierNoFilter by certification tier
min_scoreNoMinimum trust score (0-100)
limitNoMaximum number of results (default: 10)
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds that no API key is required and that the tool supports filtering, which provides useful behavioral context beyond the annotations.

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 concise sentences. The first states the action, the second provides usage context and filtering capabilities. No superfluous information.

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

Completeness3/5

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

The description is adequate for a search tool with good annotations, but it lacks details about the output format or pagination. Although no output schema is provided, the description could mention what fields are returned.

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 describes all parameters adequately. The description simply summarizes filtering by type, tier, and score, adding no additional semantic value beyond 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?

The description clearly states it searches for certified AI capabilities by keyword or description, and specifically mentions discovering certified alternatives when a capability is uncertified or scores poorly. This distinguishes it from sibling tools like check_certification or compare_capabilities.

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 explicitly advises using this tool to discover certified alternatives when a capability is uncertified or scores poorly. However, it does not specify when not to use it or mention alternative tools directly.

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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