Skip to main content
Glama

Make Agent Fast

Read a conversation

get_conversation
Read-onlyIdempotent

Read one conversation's transcript: what the customer wrote, what the agent answered, which answers failed, and any replies you sent yourself.

Input Schema

NameRequiredDescriptionDefault
agent_idYesThe agent_id from list_agents.
conversation_idYesThe conversation_id from list_conversations.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world scope, so the safety profile is covered. The description adds genuine behavioral value by describing what the transcript contains (failed answers, your sent replies), which is return-content context the annotations do not provide. It stops short of mentioning auth requirements, pagination, or behavior for missing/invalid IDs.

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?

A single well-formed sentence with the core action front-loaded and zero filler. The enumeration of transcript contents is compact and informative.

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 two-parameter, fully-annotated, read-only tool, the description is largely complete: it conveys the read-only safety profile, the scoping to one conversation, and the shape of the returned transcript, which partially compensates for the absence of an output schema. Minor gaps remain around pagination/size and error behavior for unknown IDs.

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 both parameters are documented with their provenance (agent_id from list_agents, conversation_id from list_conversations). The description adds no additional parameter meaning, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Read') and resource ('one conversation's transcript') and enumerates the content types returned. It implicitly distinguishes itself from list_conversations by being single-conversation scoped, but never names or contrasts any sibling explicitly.

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

Usage Guidelines3/5

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

Usage is implied: read it to see what the customer wrote, what the agent answered, which answers failed, and your own replies. There is no explicit guidance on when to prefer this over list_conversations or list_unanswered_questions, and no exclusions or prerequisites stated.

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.

Resources