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Browse Agent Reliability by topic

get_topic
Read-onlyIdempotent

List the knowledge objects carrying a tag (topics are content-backed tags). Use this to browse a known topic; use search when you have a question rather than a tag, and get_overview to see which tags exist. An unknown tag comes back with the topics that do exist, so a miss still moves you forward.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagYesThe topic to list, spelled exactly as get_overview publishes it. Every published topic has objects under it, so an empty answer means the topic does not exist.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
tagYes
totalYes
resultsYes
recoveryNo

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, and non-destructive behavior, so the bar is lower. The description adds valuable non-obvious edge-case behavior: an unknown tag returns the topics that do exist, so a miss still yields useful output. It also clarifies that an empty answer means the topic does not exist, which complements the read-only trust profile.

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: action and scope first, then routing guidance, then the unknown-tag fallback behavior. 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?

For a single-parameter, read-only tool with a rich parameter description, safety annotations, and an output schema, the description fully covers purpose, when-to-use, and edge-case behavior. Nothing an agent needs to select and invoke this tool correctly 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?

Schema description coverage is 100%, and the tag parameter's schema description already explains exact spelling requirements and the empty-answer meaning. The tool description adds usage context ('browse a known topic') but no additional parameter-format details, so the baseline 3 applies.

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?

States a specific verb ('List') and resource ('knowledge objects') filtered by a tag, with the clarifying note that topics are content-backed tags. Explicitly distinguishes this tool from search and get_overview, so an agent can identify it correctly without opening schemas.

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?

Provides explicit guidance: use this to browse a known topic, use search for question-based queries, and use get_overview to enumerate existing tags. This fully routes the agent among the sibling tools.

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.