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Stratum UK compliance checks

Postcode report

postcode_report
Read-onlyIdempotent

Flood risk, crime, deprivation, coal mining, radon, contaminated land and Japanese knotweed records for a UK postcode. Paid per call from your Stratum API balance, or use a test key.

Input Schema

NameRequiredDescriptionDefault
postcodeYesUK postcode, for example TA7 0RB.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavioral information: this is a metered call charged to a Stratum API balance, with a test-key alternative — a cost/auth trait no structured field conveys. It stops short of describing the response shape or what happens when a postcode has no records.

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 sentences, no filler, and the highest-value information (what data domains are returned) is front-loaded. The billing caveat is correctly placed second as a secondary constraint.

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?

For a one-parameter read-only lookup this is nearly complete: the agent knows the scope, the domains covered, and the cost model. The remaining gap is return-value description — there is no output schema, so the agent must guess the structure and size of the multi-domain payload it is paying for.

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?

There is a single parameter with 100% schema description coverage ('UK postcode, for example TA7 0RB'), so the schema already carries the semantics. The description adds nothing about format normalization, case, or partial-postcode handling beyond what the schema states, so the baseline 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 names a concrete resource (a UK postcode report) and enumerates exactly what the report covers: flood risk, crime, deprivation, coal mining, radon, contaminated land and Japanese knotweed. That makes it trivially distinguishable from every sibling (company_*, fca_*, sanctions_*, epc_for_address), though it never explicitly states the differentiation, which keeps it just below a 5.

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: an agent can infer this is the tool for property/area due diligence on a UK postcode. No when-to-use, when-not-to-use, or alternative is stated — it never tells the agent whether to prefer epc_for_address, run_suite_check, or another sibling when scopes overlap. The only explicit operational guidance is the billing note.

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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