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Sources behind Football Atlas

get_sources
Read-onlyIdempotent

The instance's whole source registry, or just the sources cited by one object — each with its evidence tier, reliability and access date. Use this when you need the registry entry behind a citation, or the whole registry to judge the corpus before trusting it; get_entity already tells you which sources a claim cites.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
object_idNoRestrict the answer to the sources cited by this knowledge object. Omit it to get the instance's whole source registry.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
foundYes
sourcesYes
recoveryNo

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds meaningful behavioral context: the tool can return either the whole registry or a filtered set depending on object_id, and it specifies the output attributes (evidence tier, reliability, access date). No contradiction with annotations.

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, front-loaded with the core behavior, then targeting the use case and sibling differentiation. Every clause earns its place; there is no redundancy or padding.

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?

For a read-only tool with one optional parameter, rich annotations, an output schema, and a clear differentiator from get_entity, the description is fully sufficient. It tells the agent what the tool returns, when to use it, and how it relates to a sibling 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 description coverage is 100%, and the schema already explains that object_id restricts results and can be omitted for the whole registry. The tool description mainly restates this same information, adding no substantially new parameter 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 states a specific verb and resource: retrieving the source registry or the sources cited by one object, including evidence tier, reliability, and access date. It actively distinguishes itself from get_entity, which already tells which sources a claim cites, making the tool's unique scope clear.

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

Usage Guidelines5/5

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

Explicitly explains when to use this tool: when you need the registry entry behind a citation, or the whole registry to judge the corpus. It also calls out get_entity as the alternative for seeing which sources a claim cites, providing clear routing guidance.

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

A4.5/5.0
Disambiguation5/5

Every tool targets a distinct retrieval mode: answer for direct questions, search for candidate discovery, get_entity for a single object, get_related for graph neighbours, get_topic for tag browsing, get_latest for freshness, get_sources for citations, and get_overview for corpus-level context. The descriptions also explicitly contrast each tool with the alternatives that might be confused with it.

Naming Consistency4/5

The majority of tools follow a clear get_<noun> pattern (get_entity, get_topic, get_sources, get_overview, get_related, get_latest), and all names are lowercase snake_case. The two query actions, answer and search, break the get_ prefix pattern slightly, but they are intentionally different entry-point verbs rather than resource fetches.

Tool Count5/5

Eight tools is well within the ideal range for a knowledge-graph query server. Each tool covers a distinct aspect of corpus exploration without feeling redundant or bloated.

Completeness5/5

The server covers the full read-only workflow for a football knowledge atlas: corpus overview, freshness, full-text search, direct question answering, entity lookup, relation traversal, topic browsing, and source verification. Gaps like create/update/delete are not needed for this domain, and the descriptions deliberately handle misses with near-miss suggestions.