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georgecurta

anonym-community-mcp

by georgecurta

search_pain_points

Search 1,478 documented PII/privacy pain points, each a concrete, evidenced problem tagged by research track, category, and severity. Use for 'what goes wrong with X' questions.

Instructions

Search 1,478 documented PII/privacy pain points. Each is a concrete, evidenced problem (e.g. re-identification via quasi-identifiers, opt-out futility with data brokers), tagged with research track, category and severity. Use for "what goes wrong with X" questions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results, 1-50 (default 10).
queryYesFree-text search over title, description and evidence.
trackNoOptional research track filter, e.g. "AI Anonymization", "Data Brokers".
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that results are concrete, evidenced problems tagged with research track, category, and severity, providing useful context beyond a generic search tool. It stops short of describing return format or potential limitations, but it is informative.

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?

The description is exactly two sentences, front-loaded with the purpose, and includes examples and usage guidance without any filler. Every sentence contributes value.

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 3-parameter search tool with no output schema, the description provides sufficient context: what is searched, how results are structured, and when to use it. Minor gaps like pagination or sorting are non-essential.

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?

The input schema covers all 3 parameters with descriptions (100% coverage), so the baseline is 3. The description adds general context about the corpus but does not add specific parameter-level semantics beyond what the schema already provides.

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?

The description uses a specific verb ('Search') and identifies a concrete resource ('1,478 documented PII/privacy pain points'), with examples that clearly distinguish it from sibling tools like search_faq or search_research_papers.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use the tool: 'Use for "what goes wrong with X" questions.' This is clear context, but it does not mention alternatives or exclusions, so it falls short of a 5.

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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