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Get an Artifact comment thread

get_artifact_thread
Read-onlyIdempotent

Read one comment thread on an Artifact with every message, oldest first. Mentions in a body look like @Name; a mention of the agent is @Agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
thread_idYesThe thread id (thr_…).
artifact_idYesThe Artifact id (art_…).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
anchorYesWhere the thread is pinned: kind element (selector, snapshot, slide), text (quote), or page.
statusYes
previewYes
mentionsNo
messagesYes
thread_idYes
created_atYes
created_byYesWho wrote it: { kind: "user", uid, name, handle, avatarUrl } or { kind: "agent", principal, name, via }.
updated_atNo
version_idNo
artifact_idYes
resolved_atNo
participantsNo
message_countYes
version_numberYes
agent_activatedYesTrue once someone mentioned the agent; only then may the agent reply or resolve.
last_message_atYes
root_message_idNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already establish this as read-only, idempotent, and non-destructive. The description adds useful behavioral detail beyond that: it returns every message in oldest-first order and explains the mention syntax format present in message bodies.

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 short sentences with no filler. The first sentence establishes the core behavior and ordering, and the second provides essential content-format context, so 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 simple read-only tool with two fully documented parameters, rich annotations, and an output schema, the description is complete. It covers what the tool returns, the ordering, and the special mention syntax the agent may need to interpret the response.

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 fully documents both parameters with descriptions and patterns, so the 100% schema coverage supports the baseline score. The description adds context about mention formatting but does not add new parameter-level meaning beyond the schema.

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 uses a specific verb ('Read'), identifies the exact resource ('one comment thread on an Artifact'), and specifies scope ('one thread'). It is clearly distinguishable from sibling tools like list_artifact_threads, create_artifact_thread, and reply_to_artifact_thread.

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

Usage Guidelines4/5

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

The description clearly conveys this tool is for reading a single full thread, which implies the appropriate use case versus listing or modifying threads. However, it does not explicitly name alternatives or state when not to use the tool.

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

A4.1/5.0
Disambiguation4/5

Tools are grouped into clear resource families (artifacts, artifact threads, presentations, channels) and descriptions explicitly redirect between create_artifact and create_presentation. The main potential confusion is create_presentation vs publish_narrated_presentation, since both produce presentations but differ in narration source; the descriptions do clarify this.

Naming Consistency5/5

All tools use snake_case verb_noun naming with consistent families like get_artifact, get_artifact_thread, and get_presentation_spec. publish_narrated_presentation is longer but still follows the verb_noun pattern, and there are no mixed casing styles or erratic naming conventions.

Tool Count4/5

19 tools is above the typical 3-15 range, but the count is justified by four clear subdomains: artifacts, artifact threads, presentations, and channels. No tools are redundant, though the set is large enough to feel slightly heavy.

Completeness4/5

Artifacts have full CRUD plus sharing, and threads have create/read/list/reply/resolve. Presentations cover authoring spec, creation/publishing, status, analytics, and reading context, but there is no delete or explicit update endpoint for presentations and no exposed way to fetch mentionables; these are workable gaps rather than fatal ones.

Resources