Skip to main content
Glama

read_chat

Read a conversation and the owner's Hungarian replies using its conversation_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conversation_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. "Read" implies a non-mutating operation, but the description does not state auth/permission requirements, return shape, message ordering, or how "owner's Hungarian replies" behave. Large gaps for a tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One short sentence with the action and the key front-loaded. Efficient overall, though the dangling "owner's Hungarian replies" clause is unclear and would be better replaced with a concrete statement of what is returned.

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

Completeness2/5

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

For a single-parameter tool with no output schema and no annotations, the description should at minimum explain what the returned conversation contains and how to obtain the id. It leaves both unspecified and instead adds an opaque domain phrase, so an agent lacks enough to invoke it confidently.

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 0%, and the single parameter is only a bare string. The description does tie conversation_id to the conversation being targeted, which adds a little meaning, but it gives no format, sourcing (e.g., from list_conversations), or validity constraints.

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 (a conversation) and identifies the required key (conversation_id), so it is distinguishable from list_conversations. The phrase "owner's Hungarian replies" is unusual domain jargon that adds confusion about what content comes back, but the core action is clear.

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

Usage Guidelines2/5

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

No guidance on when to use this versus siblings like list_conversations, start_chat, or read_agent_lounge. Nothing states prerequisites (e.g., that the conversation must already exist from start_chat) or when reading is inappropriate.

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