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pg_classified_keyword_match

Daily compliance triage: scans top Polymarket markets by 24h volume and flags those whose question text matches curated sensitive-keyword categories — military action, regime change, leadership death, diplomacy, intelligence ops, monetary policy, regulatory action. Returns flagged markets with monitoring severity (HIGH/MEDIUM/LOW), matched categories and keywords, and volume. Pair flagged HIGH markets with pg_insider_signal_scan for active surveillance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax markets to scan (default 25, max 100)
categoryNoOptional: filter to one category (military_action, regime_change, leadership_death, diplomacy, intelligence, monetary_policy, regulatory_action)

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden of disclosing behavior. It states that the tool is a scan that returns flagged markets, severity levels, matched categories/keywords, and volume, which implies a read-only, non-destructive operation. It does not mention rate limits, authentication, or pagination, but for a read-only scanner with a clear output contract, the disclosure is adequate.

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 two sentences: the first states the purpose and mechanism, the second specifies return values and a suggested follow-up action. Every sentence contributes new information; there is no filler or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple with two optional params, no output schema, and no annotations. The description covers the output contract (severity, matched categories/keywords, volume) and the workflow context (daily compliance triage, pairing with a sibling tool), making it effectively complete for invocation.

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 already covers both parameters with descriptions (100% coverage), so the baseline is 3. The description adds context that the scan operates on top markets by 24h volume and lists the exact keyword categories, which loosely maps to the category parameter. It does not add additional syntax or format details, but no compensation is needed given the full schema coverage.

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 opens with 'Daily compliance triage' and uses a specific verb phrase: 'scans top Polymarket markets by 24h volume and flags those whose question text matches curated sensitive-keyword categories.' This clearly distinguishes it from sibling market-scan tools by naming the source (Polymarket), the trigger (keyword categories), and the output (flagged markets with severity).

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?

It establishes a clear use case: daily compliance triage of high-volume Polymarket markets based on sensitive keywords. It also provides cross-tool guidance by instructing to pair HIGH-flagged results with pg_insider_signal_scan for active surveillance. It does not explicitly state when not to use this tool versus alternatives, but the context is strong enough.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool has a clear, distinct purpose covering different aspects of prediction market integrity (market analysis, wallet analysis, AML/KYC, alerting, reporting). There is minimal overlap risk, as even related tools (e.g., pg_insider_signal_scan vs. pg_information_advantage_score) are differentiated by input (market vs. wallet) and output type.

Naming Consistency4/5

All tools share the 'pg_' prefix and use descriptive snake_case names, making the set predictable. However, the verb/noun order is inconsistent (e.g., pg_whale_add vs. pg_market_details). The pattern is still clear and functional, so minor deviation from a strict verb_noun pattern.

Tool Count4/5

With 33 tools, the set is large but well-scoped for a comprehensive platform covering market analysis, wallet intelligence, compliance, and reporting. Each tool serves a distinct function, and the count is justified by the breadth of the domain, though it pushes the upper bound of 'reasonable'.

Completeness5/5

The toolset covers the full lifecycle of prediction market integrity work: from market discovery and integrity scanning to wallet analysis, entity resolution, AML/KYC, watchlist management, alerting, and SAR reporting. There are no obvious gaps for the stated purpose.

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