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Double AIgents DSAR service

DSAR search checklist

dsar_search_checklist
Read-onlyIdempotent

Where to search when answering a subject access request, especially from an employee: Microsoft 365 (Exchange and archives, shared mailboxes, Teams, OneDrive, SharePoint), other collaboration tools, HR, payroll, recruitment, CCTV, access logs, devices, line manager notes, paper files, occupational health and backups; search-term tips; and the search standard (UK GDPR Art. 15(1A) reasonable and proportionate searches). General information, not legal advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organisation_typeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds the 'General information, not legal advice' caveat, which is genuine added context, but says nothing about return format or length beyond the topic list.

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?

Single front-loaded sentence that leads with the core purpose, then itemizes scope. Dense but no filler; the semicolon lists are efficient rather than bloated.

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?

No output schema exists, and the description does explain what content the checklist covers, which is the main burden. However it leaves the required organisation_type's effect unexplained, so an agent cannot know how its choice alters the answer.

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 coverage is 0% for the single enum parameter organisation_type, and the description only obliquely hints at it via 'especially from an employee'. It never explains what employer/law_firm/other change in the output, so the one parameter an agent must supply is effectively undocumented.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete deliverable — a checklist of where to search when answering a DSAR — and enumerates the covered sources (M365, HR, payroll, CCTV, backups, etc.). This clearly separates it from siblings like dsar_request_scoping or dsar_deadline.

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 implied by 'when answering a subject access request, especially from an employee', but it never states when to pick this over dsar_request_scoping or dsar_service_info, nor any preconditions. Adequate context, no explicit routing.

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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