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CliDeck MCP — Network Knowledge

Continue Expert Task

continue_expert_task

Provide bounded additional input requested by the researcher.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYes
task_idYes
access_tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
stageYes
answerYes
statusYes
failureYes
task_idYes
created_atYes
expires_atYes
milestonesYes
input_requestYes
poll_after_msYes
progress_percentYes
published_release_sequenceYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
Behavior2/5

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

Annotations already declare readOnly=false, idempotent=false, destructive=false, and openWorld=false, so the safety profile is largely covered. The description adds only 'bounded,' which gestures at the 2000-char limit but says nothing about auth requirements (the access_token param), side effects, or what 'continue' actually mutates.

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

Conciseness3/5

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

It is a single front-loaded sentence with no wasted words, which is structurally clean. But it is under-specified rather than genuinely concise, so it earns only a middling score.

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?

An output schema exists, so return values need not be explained. Still, with three parameters at 0% coverage, no usage context, and a mutation-adjacent operation, the description is too thin for an agent to call it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry the load, yet it names no parameters. 'Bounded additional input' loosely maps to the message maxLength, but task_id and access_token are entirely undocumented in both schema and description.

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

Purpose3/5

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

The description states it provides additional input tied to a researcher, implying a continuation of an existing expert task. However, it never explicitly says it advances/continues an expert task session or how it differs from siblings like request_expert_answer or get_expert_task, so the purpose is only vaguely conveyed.

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?

There is no explicit when-to-use guidance, no prerequisites, and no named alternative. 'Requested by the researcher' faintly implies the trigger condition but leaves the agent to infer when this tool applies versus the other expert-task siblings.

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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