Skip to main content
Glama

GMPSignal Real-Time Intelligence MCP

global_product_recalls

Global Product Recalls - CPSC, FSIS, EU Safety Gate: Real-time structured data extraction feed for Global Product Recalls - CPSC, FSIS, EU Safety Gate.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "global_product_recalls"
  }
}

Input Schema

NameRequiredDescriptionDefault
maxResultsNoMaximum number of structured items to extract.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full burden of behavioral disclosure and largely fails to meet it. It does not state that this is a read-only fetch, whether results are paginated, how sources are merged or deduplicated across CPSC/FSIS/EU, or whether ordering is by date. 'Real-time feed' is promotional framing rather than a behavioral fact an agent can act on.

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 text is short but wastes most of its length: 'Global Product Recalls - CPSC, FSIS, EU Safety Gate' appears twice within one sentence, and the only new content is the source list. There is no front-loaded statement of what the tool returns before the repetitive framing.

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?

With no output schema and no annotations, the description is the sole source of information about a return value it calls 'structured items' without ever saying which fields those items contain. For an extraction feed pulling from three distinct regulatory jurisdictions, an agent cannot predict record shape, currency, or deduplication behavior from this description.

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 schema has a single optional parameter, maxResults, with 100% description coverage and a default of 10, so the schema already does the explanatory work. The description adds nothing about what a 'structured item' is or how maxResults interacts with multi-source aggregation. Baseline 3 applies when schema coverage is complete.

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 identifies the resource (global product recalls) and names the three upstream sources (CPSC, FSIS, EU Safety Gate), which is genuinely informative. However, the operative verb is the vague phrase 'real-time structured data extraction feed,' and the name/title is restated twice without distinguishing this from the obvious sibling fda_recalls_enforcement. An agent knows the topic but not precisely what action or shape of result to expect.

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?

There is no when-to-use guidance, no stated preconditions, and no mention of alternatives such as fda_recalls_enforcement or the other recall-adjacent siblings. The only implicit signal is 'real-time,' which hints at recency-oriented usage but does not tell the agent when to prefer this over another recall source.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.