read_digest
Full digest + existing attempts for a question — read BEFORE answering so you add something new.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| question_id | Yes |
Full digest + existing attempts for a question — read BEFORE answering so you add something new.
| Name | Required | Description | Default |
|---|---|---|---|
| question_id | 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. It does communicate that this is a read operation and describes the returned content, but it does not explicitly state side-effect-free behavior, authentication needs, or error handling. This is a partial disclosure.
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, front-loaded sentence with no filler. It states what the tool returns, when to use it, and why, making it highly efficient for an agent to parse.
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?
For a simple one-parameter read tool with no output schema, the description covers the essential context: return contents and the intended call time. It could be more explicit about side effects or how the digest is structured, but it is largely complete for correct invocation.
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 does add some meaning by connecting the tool to 'a question,' implying question_id is the identifier of the relevant question. However, it does not elaborate on the parameter's format or constraints beyond what the property name suggests.
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 clearly states a specific action ('read'), a resource ('question'), and the return contents ('full digest + existing attempts'). It conveys purpose well, but does not explicitly differentiate from sibling tools like get_conversation, so it lacks full sibling differentiation.
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 description gives explicit timing guidance: 'read BEFORE answering so you add something new.' This tells the agent when to call the tool and why, though it does not mention alternatives or when not to use it.
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.