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Call an API endpoint

call-endpoint
Read-only

Fetch data from a Scrappa API endpoint, including data from third-party sites. Use Find API endpoints to discover an endpoint and its parameters. Requests may use credits on your Scrappa account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoJSON object of parameters to pass to the endpoint (e.g. {"query": "pizza berlin", "page": "1"})
endpointYesThe endpoint name from search-endpoints results (e.g. "kununu-search", "simple-search")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds genuinely new behavior the annotations cannot express: requests consume credits on the user's Scrappa account, which matters for invocation decisions. It still omits error/failure behavior and rate limits.

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?

Three short sentences, front-loaded with the core action and zero filler. The credit note is the only slight tail-end addition, but it earns its place as a cost signal.

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?

With only two well-documented parameters, full annotation coverage, and no output schema to explain, the description is nearly complete: it covers discovery workflow and cost. A brief note on failure modes when the endpoint name is invalid or params are malformed would close the remaining gap.

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 both parameters (endpoint name and JSON params string) are already fully documented in the schema with examples. The description's only parameter-related contribution is directing the agent to discover parameters via the other tool, which is marginal over the schema itself.

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 states a specific verb (Fetch) and resource (Scrappa API endpoint / third-party site data) and explicitly distinguishes itself from the discovery sibling, which only lists endpoints. An agent can tell that this is the execution tool while search-endpoints is the discovery tool.

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?

It gives clear conditional guidance: use the discovery tool first to find an endpoint and its parameters, then call this. The only weakness is that it refers to that tool as 'Find API endpoints' rather than the actual sibling name 'search-endpoints', and it offers no when-not-to-use or rate/credit exclusions.

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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