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workspace_bootstrap_reading_project

Create starter artifacts for a first reading project by setting up a workspace, a paper queue, and a session from selected papers.

Instructions

Create starter artifacts for a first reading project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
focusNo
papersYes
artifact_dirYes
create_queueNo
project_titleNo
create_sessionNo
max_candidatesNo
workspace_pathYes
target_result_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv1.2.2
    • addedInput schema / properties / max_candidates / maximum
      Added value: +20
    • addedInput schema / properties / max_candidates / minimum
      Added value: +1
  2. Addedv1.1.0

TDQS

C2.1/5.0
Behavior2/5

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

With no annotations, the description carries the full burden. It doesn't disclose that this is a mutation that writes files, whether it overwrites existing artifacts, or that it creates a queue/session by default (create_queue=true, create_session=true). Only the vaguest notion of the side effect is conveyed.

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?

A single front-loaded sentence with no filler, but it is under-specified rather than genuinely concise for a 9-parameter tool. The brevity comes at the cost of required meaning.

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

Completeness1/5

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

For a complex 9-param mutation with no annotations and no output schema, the description is far too thin. An agent has insufficient information to invoke it correctly and safely.

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

Parameters1/5

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

Schema description coverage is 0% and the description mentions none of the 9 parameters, so nothing compensates for the undocumented fields. Parameters like artifact_dir, max_candidates, create_queue, and target_result_id are entirely unexplained in prose.

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?

States a verb ("Create") and a resource ("starter artifacts for a first reading project"), which conveys a rough scope. However, it doesn't distinguish this from close siblings like workspace_plan_starter_project or workspace_create_reading_session/workspace_create_reading_queue, and "starter artifacts" is left undefined.

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 when-to-use guidance, no prerequisites, and no mention of alternatives. an agent cannot tell from the description alone why it would bootstrap a project rather than plan one.

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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