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http.probe

Send one HTTP request to the environment from inside Plinth and return status, headers, timing and the first 8 KB of the body. Use it to reproduce a failing route.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
envYesEnvironment: production, staging, or a preview name
bodyNo
pathNoe.g. /api/orders?id=3
methodNo
headersNo
projectYesProject name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It does disclose the response shape and the 8 KB truncation, but is silent on the key risk: the schema accepts arbitrary method and body, so this can execute mutating requests (POST/DELETE) against a named environment including production, and no side-effect, auth, or rate-limit behavior is stated.

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 tight sentences with no wasted words; the capability and its output scope are front-loaded before the usage hint.

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?

Since there is no output schema, the description usefully enumerates return values and the 8 KB cap. However, for a 6-parameter tool with a nested headers object and zero annotation coverage, it omits method defaults and side-effect/authorization context needed to invoke it safely.

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?

Schema description coverage is only 50%: env, path and project are documented in the schema, while method, body, and the nested headers object are not. The description adds nothing about parameter usage — no default method, no header format, no body encoding — so it fails to compensate for the coverage gap.

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?

States a specific verb and resource ('Send one HTTP request to the environment from inside Plinth') plus the response payload (status, headers, timing, first 8 KB of body). This clearly separates it from siblings like requests.query or logs.query, though it never names an alternative explicitly.

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?

'Use it to reproduce a failing route' gives a concrete use context, but there is no statement of when NOT to use it, no named alternative (requests.query, logs.query, env.exec), and no prerequisite or approval conditions for firing a live request at production.

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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