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Groundtruth: site inspections, photos and pickups; court and property records retrieval

Send a requirement

submit_request

Send a requirement to one of Groundtruth's services. It is kept with a reference number.

Input Schema

NameRequiredDescriptionDefault
needYesThe requirement in words
slugYesService slug, or anything-else
actionNo
budgetNo
timingNo
contactNoOptional; stored apart and deleted after 180 days
quantityNo
geographyNo
specificationsNoFields from the service's request schema
requested_fieldsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The annotations already declare that the tool is non-readonly, non-destructive, non-idempotent and closed-world. The description adds one useful fact beyond them, namely that the submitted requirement is persisted with a reference number, which tells the agent that a write occurs and that an identifier comes back. However, it doesn't say that repeat calls create separate records, what the reference number looks like, or how the contact data is handled.

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?

Two short sentences with no filler, and the destination and persistence fact are front-loaded. Brevity here is achieved by omission rather than by tight editing, but nothing is wasted.

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?

For a ten-parameter, nested-submission tool with no output schema and thin annotations, the description is far too sparse. It omits the semantics of the optional structured fields and omits what happens after submission, so an agent can't reliably assemble a valid request from the description alone.

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?

Ten parameters, nested objects and only 40% schema description coverage mean the description should carry real weight, but it says nothing about need, slug, action, budget, timing, quantity, geography, specifications or requested_fields. With half the parameters undocumented even in the schema, the missing description leaves request construction largely guesswork.

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 states a concrete verb and resource: 'Send a requirement' to a named service. It is clear enough to distinguish from the read-only siblings describe_proposition and list_propositions, but it doesn't say what a 'requirement' actually is or how it differs from a proposition.

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 guidance on when to use this tool instead of the sibling tools, nor any prerequisites, such as needing a known slug or choosing 'anything-else'. The agent has to infer the usage context entirely.

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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