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Jira

by io.github.pipeworx-io

Scan Competitor AI Presence

scan_competitor_ai_presence
Read-onlyIdempotent

Compare AI visibility across multiple entities side-by-side. Probes each entity (your brand + N competitors) with ai_visibility_check, ranks by score, surfaces which is most/least recognized. Useful for competitive AI-marketing audits: "does Claude know about us as well as our competitors?". Returns ranked list with score, confidence, signal density per entity.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelsNoWhich models to probe. Supported: "workers-ai" (free default), "anthropic" (requires _apiKey). Omit for just workers-ai.
_apiKeyNoOptional Anthropic API key — only if "anthropic" is in models. Passed to api.anthropic.com per probe.
contextNoOptional shared context applied to every probe (e.g. "B2B SaaS", "Boston restaurant"). Disambiguates common names.
entitiesYesArray of 2-8 entities to compare (brand/business/product names). First entry treated as the "subject" for narrative; rest are competitors.

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive. Description adds that it internally calls ai_visibility_check, ranks by score, and surfaces most/least recognized. No contradictions.

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?

Three sentences, front-loaded purpose, zero waste. Each sentence adds distinct value.

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?

No output schema, but description explains return format (ranked list with score, confidence, signal density). Process of probing each entity with ai_visibility_check is described. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

100% schema coverage gives baseline 3. Description adds extra: first entity treated as subject, optional models with _apiKey dependency. Adds value beyond schema.

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?

Verb 'compare' + resource 'AI visibility across multiple entities' + outcome 'ranked list with score, confidence, signal density'. Distinguishes from single-entity sibling ai_visibility_check.

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?

Explicit use case: competitive AI-marketing audits. Implies when to use but does not explicitly state when not to or mention alternatives like compare_entities.

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

A3.6/5.0
Disambiguation3/5

Tool purposes are largely distinct across domains (Jira, data queries, prediction markets), but there is overlap within domains, e.g., ask_pipeworx vs ask_pipeworx_grounded and multiple Polymarket edge analysis tools.

Naming Consistency2/5

Naming mixes multiple conventions: jira_ prefix, pipeworx_ prefix, polymarket_ prefix, and plain verbs (remember, forget, recall). No consistent pattern across the entire set.

Tool Count2/5

34 tools is excessive for a server named 'Jira' which only has 4 Jira-specific tools. The majority are unrelated Pipeworx and Polymarket tools, making the scope bloated.

Completeness2/5

Jira-specific tools are incomplete (missing create, update, delete). While Pipeworx and Polymarket tools are comprehensive, they are out of place for a Jira server, leaving gaps in its stated purpose.

Resources