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athena_search_kb

Search the knowledge base for Athenahealth views, API endpoints, FHIR resources, workflows, and error patterns. Results include confidence scores and source tier to guide integration decisions.

Instructions

Search the Athena Tools knowledge base. Returns views, columns, API endpoints, workflows, FHIR resources, gotchas, and error patterns relevant to the query. Every result includes a confidence score and the source tier (primary = verified live data, secondary = scraped docs, reference = public repos).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results to return (1–20). Defaults to 5.
queryYesNatural language search query, e.g. "patient identity join" or "appointment status codes"
filterNoNarrow results to a specific content type. Defaults to "all".all
Behavior3/5

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

No annotations provided, so description carries full burden. It mentions result structure (confidence score, source tier) but does not disclose behavioral traits like rate limits, authentication, or destructive potential. Adequate but not rich.

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?

Two sentences with no wasted words. First sentence defines purpose, second adds key result features.

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?

Given 3 parameters, no output schema, and no annotations, description covers purpose, result types, and result attributes. Could elaborate on search behavior, but sufficient for a search tool.

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?

Schema already describes all 3 parameters with 100% coverage. Description adds no extra meaning beyond what schema provides, so baseline 3.

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?

Description clearly states 'Search the Athena Tools knowledge base' and lists specific return types (views, columns, API endpoints, etc.). Distinguishes from sibling tools which are more specific (explain, diagnose, etc.).

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?

Implied usage as a general knowledge search, but no explicit guidance on when to use this vs. sibling tools like athena_explain_view or athena_diagnose_error.

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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