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save_request

Save a sample request payload to the Playground for documentation and testing. Recreates parameters for playground testing.

Input Schema

NameRequiredDescriptionDefault
urlYesRequest URL / path, e.g. /api/v1/payments
bodyNoRequest body string (JSON or raw)
nameYesDescriptive name for this request scenario, e.g. 'Success Case', 'Validation Error'
methodYesHTTP Method, e.g. POST, GET
headersNoRequest headers as JSON string
mockNameNoAssociated mock API name
descriptionNoDetailed description of this test scenario
projectNameNoAssociated project name
collectionNameNoAssociated collection folder name
responseStatusNoOptional expected response status code

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It says the payload is saved to the Playground, implying persistence and mutation, but it omits overwrite behavior, permissions, return values, and side effects for a 10-parameter save operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The first sentence is front-loaded and useful, but the second sentence largely repeats the playground/testing idea without adding actionable detail. It is short overall, but one sentence does not fully earn its place.

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 annotations and no output schema, the description should clarify the save behavior and result for a fairly complex 10-parameter tool. It covers high-level purpose and a use case, but leaves behavioral and return-value context missing.

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 description coverage is 100%, so parameter meanings are already documented in the schema. The description adds no parameter-level detail beyond 'payload' and 'recreates parameters', so the baseline of 3 applies.

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?

The description gives a specific verb, 'Save', and resource, 'sample request payload to the Playground', plus its documentation/testing purpose. It does not distinguish itself from siblings such as get_saved_requests or create_mock, so it is clear but not fully differentiated.

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?

It implies a use case by saying the tool is 'for documentation and testing', but it never states when to choose this over related tools or any prerequisites/exclusions. That is enough for loose context but not explicit routing guidance.

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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