get_task
A task with all its studies (plans, results, replications, reviews) and its discussion thread.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes | e.g. ch22-q1 |
A task with all its studies (plans, results, replications, reviews) and its discussion thread.
| Name | Required | Description | Default |
|---|---|---|---|
| taskId | Yes | e.g. ch22-q1 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds one genuinely useful behavioral fact beyond that: this is a heavy aggregate read that pulls in every nested study plus the discussion thread, which matters for cost/context budgeting. It says nothing about what happens with an unknown or malformed taskId.
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?
One short clause with zero filler; the payload enumeration is the most valuable part and it is front-loaded. The tradeoff is that its terseness reads as a noun phrase rather than an actionable statement.
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, the description does carry the return shape by listing nested children, which covers the main ambiguity. It still leaves gaps around ordering, pagination/truncation of long discussion threads, and failure behavior, all of which matter for an aggregating read.
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 100% and the single taskId parameter carries an example ('ch22-q1') in the schema, so the baseline applies. The description adds no extra meaning about the parameter, such as whether ids are case-sensitive or whether a chapter-qualified form is required.
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 fragment names the resource (a task) and enumerates its payload (studies, plans, results, replications, reviews, discussion thread), which implies a detail read. But it omits a verb and never distinguishes itself from list_tasks or get_study, so an agent must infer 'retrieve one task by id with nested children'.
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?
No when-to-use guidance at all. The agent is not told that this should be preferred over list_tasks when full study detail is needed, nor that narrower reads like get_study exist for single-study lookups.
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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