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Request a dataset or capability

request_data

State a data requirement, intended use, expected monthly volume and acceptable price. Free and logged to inform build priority.

Input Schema

NameRequiredDescriptionDefault
contactNoOptional contact for a future reply
use_caseNouse_case
descriptionYesThe data or verdict you need
max_price_usdNomax_price_usd
volume_per_monthNovolume_per_month

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations present, the description carries the full burden; it does disclose two genuinely useful traits (the request is free, and it is logged), which is more than nothing. It never says whether anything is returned, how long a response takes, or that no immediate data or verdict comes back, leaving an agent to possibly expect a synchronous result.

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 clauses, front-loaded with the core action and followed by the cost/logging qualifier, with no filler. Slightly wasted space because the field enumeration in the first clause largely restates the schema.

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?

For a 5-parameter, annotation-free, output-schema-free intake tool, the description should clarify the response contract (confirmation only? ticket reference? follow-up via the contact field). It explains cost and logging but not the outcome, so the agent cannot fully predict what calling it produces.

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 baseline is 3. The description recasts volume as 'expected monthly volume' and price as 'acceptable price', which adds modest meaning over the schema's tautological placeholders (the schema literally repeats 'volume_per_month' and 'max_price_usd' as descriptions), but it omits the optional contact parameter entirely.

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 specific action (submit a data requirement with use case, volume and price) and adds the key qualifier 'Free and logged to inform build priority', which tells the agent this is a demand-capture request rather than a data-returning lookup. It does not, however, distinguish itself from siblings such as find_capability, which an agent might reasonably reach for instead.

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?

Usage is only implied: 'logged to inform build priority' suggests this is for data/capabilities not yet available, but there is no explicit when-to-use statement and no named alternative. The agent must infer that find_capability should be tried first and this tool used only as an escalation.

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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