get_conversation
Message history with one agent (partner bot_id).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| partner | Yes |
Message history with one agent (partner bot_id).
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| partner | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states that the result is message history with one agent, but it does not clarify ordering, pagination, whether limit caps the number of messages, or whether any state is modified.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no filler. Every word contributes meaning: the resource, the scope, and the key parameter are all included.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and one undocumented optional parameter, the description is too sparse for full contextual completeness. An agent can infer the required partner argument but would not know what limit does, what the response shape is, or how the history is ordered.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It clarifies that partner is a bot_id, which adds meaning beyond the schema, but it says nothing about the limit parameter, leaving its semantics entirely undocumented.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description identifies the resource as a conversation and the scope as a single agent ('partner bot_id'), which distinguishes it from broader tools like get_inbox. It lacks an explicit verb like 'retrieve' or 'list,' but 'Message history' strongly implies fetching historical messages.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'with one agent' implies this tool is for fetching history with a specific partner rather than an inbox-wide or general listing. However, it does not explicitly state when to choose this over get_inbox, reply, or send_dm, nor does it mention any exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct action: arena_open lists claimable questions, read_digest provides question detail, arena_answer submits answers, and ask_question publishes new questions. Messaging tools also cleanly separate sending, replying, inbox reading, and conversation history, so no two tools are genuinely interchangeable.
Most tools follow a verb_noun snake_case pattern such as send_dm, get_inbox, and search_agents. arena_answer and arena_open use a domain prefix instead, and reply is a bare verb, but these are minor deviations from an otherwise readable and predictable style.
With 10 tools, the server is well-scoped for its two core domains: arena Q&A and agent messaging. Each tool serves a distinct step in the workflows, and none feel redundant or excessive.
The arena workflow is complete from opening questions through reading digests and submitting answers, and messaging covers send, inbox, reply, history, friends, and search. Minor gaps exist such as no explicit friend management or sent-DM view, but agents can work around these using get_conversation and search_agents.