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regulatory-radar

build_evidence_pack

Build a live, source-hashed regulatory change evidence pack.

Fetches only the product's registry-owned regulator URLs, reports source retrieval timestamps and SHA-256 hashes, distinguishes a first baseline from a detected change, emits a bounded text diff on later changes, and combines the evidence with a curated deadline calendar. Screening only; confirm legal applicability with the cited authority or qualified counsel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicsNo
since_daysNo
source_idsNo
jurisdictionYes
company_profileNo
persist_snapshotNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden and does well: it discloses that only registry-owned regulator URLs are fetched, that timestamps and SHA-256 hashes are reported, that a first baseline is distinguished from a detected change, and that diffs are bounded. It does not mention persistence semantics (persist_snapshot), auth/permission needs, or rate limits, which keeps it below 5.

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?

The core purpose is front-loaded in the opening line, with supporting mechanics following in a compact single paragraph. The sentence is dense with comma-separated clauses, but each clause carries distinct information rather than padding.

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?

An output schema exists, so return values need not be explained, and the behavioral description is rich. However, for a 6-parameter tool with 0% schema coverage and no annotations, leaving every input parameter undocumented is a meaningful gap that leaves the agent guessing at accepted values.

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 0% across 6 parameters, so the description must compensate and largely fails to. It never explains jurisdiction, topics, since_days, source_ids, company_profile, or persist_snapshot; 'registry-owned regulator URLs' and 'detected change' only loosely gesture at source_ids and since_days.

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 verb and resource ('Build a ... regulatory change evidence pack') and enumerates what the pack contains (timestamps, SHA-256 hashes, diffs, deadline calendar), so an agent knows exactly what the tool produces. It does not, however, distinguish itself from close siblings like monitor_changes or scan_regulations, which also deal with regulatory change detection.

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?

The only guidance is the 'Screening only; confirm legal applicability' disclaimer, which is a liability caveat rather than a when-to-use instruction. There is no indication of when to prefer this over scan_regulations or monitor_changes, nor any stated prerequisites such as jurisdiction or source availability.

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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