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get_replies
Read-only

Retrieve a page of replies from a DevForum topic in chronological order to find answers buried deep in long threads.

Instructions

Fetch a page of replies from a DevForum topic in post order. Use after get_thread when the answer is buried further down a long thread.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page of replies.
limitNo
topicNoTopic id (e.g. 3665478) or DevForum URL. Also accepted as topic_id.
topic_idNoAlias for topic.
max_tokensNo

Schema Changelog

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

  1. Changed3 schema fields changedv1.1.5
    • changedInput schema / properties / topic / description
      Previous value: -"Topic id or DevForum URL."New value: +"Topic id (e.g. 3665478) or DevForum URL. Also accepted as topic_id."
    • addedInput schema / properties / topic_id
      Added value: +{
      +  "anyOf": [
      +    {
      +      "maximum": 9007199254740991,
      +      "minimum": -9007199254740991,
      +      "type": "integer"
      +    },
      +    {
      +      "type": "string"
      +    }
      +  ],
      +  "description": "Alias for topic."
      +}
    • removedInput schema / required
      Removed value: -[
      -  "topic"
      -]
  2. First observedv1.0.2

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already cover the read-only, non-destructive, open-world nature of the call. The description adds useful behavioral context by specifying 'post order' and pagination intent, but it does not disclose details like response shape, rate limits, or how pagination behaves at the end of the thread. This is adequate but not rich.

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 action and resource, followed by a targeted usage condition. No filler or redundant restatement of the schema.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read-only paginated tool, the description covers what the tool fetches, how it orders replies, and when to use it relative to get_thread. With no output schema, a note on return shape could have been valuable, but the description is otherwise complete for the intended use case.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 60%, with page, topic, and topic_id already described. The description adds no new meaning for these parameters and does not compensate for the undocumented limit and max_tokens parameters, which remain unclear without further inference.

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 ('Fetch'), a precise resource ('a page of replies from a DevForum topic'), and ordering ('in post order'). It clearly distinguishes itself from get_thread by framing this tool as the paginated follow-up that retrieves replies rather than the thread itself.

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 directs when to use this tool: 'Use after get_thread when the answer is buried further down a long thread.' It names the relevant sibling tool and provides a concrete condition for selection, leaving little to inference.

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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