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Glama

Traverse the Agent Reliability knowledge graph

get_related
Read-onlyIdempotent

Graph neighbours of an object: outgoing and incoming relations, each with its relation type. Use this after get_entity to widen an answer with adjacent objects. It walks one hop from an id you already have — use search when you have a question and no starting object.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe knowledge object to walk out from, by id.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
foundYes
incomingNo
outgoingNo
recoveryNo

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare the operation safe, read-only, idempotent, and non-destructive. The description adds meaningful behavior beyond that: it explains the one-hop traversal limit ('It walks one hop from an id you already have') and the result shape (outgoing/incoming relations, each with its relation type). 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?

The description is two sentences with no fluff: the first explains the core operation and result type, the second gives usage context and an alternative. Every part earns its place and the key action is front-loaded.

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 single-hop, single-parameter, read-only tool with complete schema and rich annotations, the description covers purpose, timing, result shape, and sibling routing. An output schema exists, so detailed return-value documentation is not required here.

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 schema fully documents the single 'id' parameter with 'The knowledge object to walk out from, by id.' The description reinforces that the id is an existing starting object but adds no additional format, constraints, or semantics beyond the schema, so the baseline of 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 opening phrase 'Graph neighbours of an object' states a specific verb and resource, and 'outgoing and incoming relations, each with its relation type' clarifies exactly what is returned. It distinguishes itself from siblings like search and get_entity through explicit contrasts.

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 'Use this after get_entity to widen an answer with adjacent objects' and contrasts with search: 'use search when you have a question and no starting object.' This clearly tells an agent when to select this tool over alternatives.

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

A4.6/5.0
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.