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x402-recall

Recall: Curated agent-economy knowledge base.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qNoQ to process
textNoText to process
queryNoQuery to process
searchNoSearch to process
keywordNoKeyword to process

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / text
      Added value: +{
      +  "description": "Text to process",
      +  "type": "string"
      +}
  2. First observed

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations and no output schema, the description carries the full burden. It says nothing about how recall works—whether it returns ranked matches, whether it requires a payment or API key (x402 suggests a paid protocol), rate limits, or the response format. 'Curated' hints at editorial filtering but is too vague to be actionable.

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 a single short sentence with no filler, which is appropriately sized. It is front-loaded with the tool name and resource, though the brevity borders on under-specification given the tool's apparent complexity.

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

Completeness1/5

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

For a five-parameter tool with no annotations, no output schema, and no parameter guidance, this description is far too sparse. It omits required inputs, behavior, return shape, and usage context—an agent cannot reliably call it.

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

Parameters2/5

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

There are five parameters (q, text, query, search, keyword), all strings with identical 'to process' descriptions in the schema. The description does not mention any of them, so an agent has no way to know which parameter to supply or how they differ, leaving the 100% schema coverage structurally present but semantically empty.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a verb, 'Recall', and a resource, 'Curated agent-economy knowledge base'. However, 'Recall' is unusual phrasing and the resource is abstract; it's unclear whether this retrieves documents, answers questions, or looks up entities. Sibling tools like x402-search and x402-keywords are far more specific, and this description does little to differentiate itself.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given about when to use this tool versus alternatives. There are many retrieval-like siblings (e.g., x402-search, x402-keywords, x402-data), yet the description offers no condition or exclusion to help an agent choose.

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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