Skip to main content
Glama

Sources behind Agent Reliability

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?

The annotations already show readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context about what the returned entries contain (evidence tier, reliability, access date) and that omitting the parameter returns the full registry, which goes beyond the 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?

The description is two sentences, front-loads the core behavior and return contents, and includes the usage guidance and sibling differentiation without any filler. Every sentence earns its place.

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?

Given a single optional parameter, rich annotations, and an output schema, the description fully equips an agent to invoke the tool correctly. It clarifies the default behavior, what data to expect, and when to choose the tool over a sibling, so nothing essential is missing.

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 documents object_id completely, including its optionality and semantics, and schema description coverage is 100%. The description restates the omit-to-get-whole-registry behavior but does not add meaning beyond what the schema already provides, so the baseline 3 is appropriate.

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 exactly what the tool returns: the source registry, optionally restricted to sources cited by one object, with evidence tier, reliability, and access date. It clearly distinguishes itself from get_entity by noting that get_entity already reports which sources a claim cites, so an agent can tell the tools apart.

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?

The description explicitly says when to use this tool: when you need the registry entry behind a citation, or when you want the whole registry to judge the corpus before trusting it. It also names the relevant sibling alternative, get_entity, and explains how that other tool differs, giving clear routing guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.6/5.0
Disambiguation5/5

Each tool targets a distinct retrieval mode: question answering, text search, entity fetch, topic browse, related traversal, source inspection, freshness, and corpus overview. The descriptions explicitly contrast overlapping pairs like answer vs search and get_topic vs search, so an agent can reliably choose.

Naming Consistency4/5

The dominant get_<noun> pattern is clear and consistent for six of eight tools, while answer and search are plain verbs that still convey their action. This is a minor deviation rather than a mixed convention.

Tool Count5/5

Eight tools is well within the ideal range for a knowledge-corpus query server. Each tool covers a distinct retrieval need with no redundancy or bloat.

Completeness5/5

The read-side lifecycle is complete: discover via overview, search, answer, topic, and latest; drill in via entity and related; and verify via sources. The descriptions explicitly handle misses with near-miss ids and existing topics, so agents are not left at dead ends.