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workspace_create_reading_session

Create a persistent reading session for a paper to save your place and track progress while exploring theorem dependencies.

Instructions

Create a persistent reading session in the active workspace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelNo
paper_idYes
target_result_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.9.3

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It adds one useful trait ('persistent') and notes the active-workspace scope, but it does not explain side effects, whether creating another session is idempotent, how the session relates to a paper, or what the response will contain.

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

Conciseness4/5

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

The description is compact and front-loaded: it opens with the action, then names the object and scope in a single efficient sentence. No words are wasted, though the brevity comes at the cost of the missing semantic detail captured in other dimensions.

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 3-parameter creation tool with no output schema and no annotations, one sentence is far from complete. It fails to define what a reading session is, how the parameters fit, or what the agent should expect after calling it, making the definition inadequate for reliable selection and invocation.

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%, so the description needed to explain the roles of paper_id, label, and target_result_id. It does not mention any of these parameters or their relationships, offering no meaning beyond the bare property names in the schema.

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

Purpose4/5

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

The description clearly states the action ('create'), the resource ('persistent reading session'), and the scope ('active workspace'). It does not explicitly contrast with sibling tools like workspace_create_reading_queue or workspace_record_reading_checkpoint, but 'reading session' is a distinct enough resource to avoid major ambiguity.

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 guidance on when to use this tool versus alternatives such as workspace_create_reading_queue, workspace_add_reading_note, or workspace_record_reading_checkpoint. No preconditions, prerequisites, or exclusions are mentioned, leaving the agent to infer the appropriate context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.