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notebook_context

Retrieves a focused, dependency-aware context slice for a specific cell in a Jupyter notebook, including optional markdown and configurable cell count.

Instructions

Return a focused, dependency-aware context slice for a given cell.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
focus_cell_idYes
max_cellsNo
include_markdownNo
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 mentions 'dependency-aware' but does not explain what that entails, any side effects, permissions, or return behavior. The description is too vague to inform safe invocation.

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 a single, front-loaded sentence that efficiently conveys the core purpose. However, it is overly terse, sacrificing useful detail. Still, every word earns its place.

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?

Given the tool has 4 parameters, no output schema, no annotations, and a complex sibling set, the description is insufficient. It does not explain what constitutes a 'context slice', how dependency-awareness works, or what the output looks like.

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 must compensate, but it does not mention any of the four parameters (path, focus_cell_id, max_cells, include_markdown). It adds no meaning beyond the schema field titles.

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 it returns a 'focused, dependency-aware context slice for a given cell,' which is a specific verb and resource. It implies differentiation from sibling tools like notebook_state (which likely returns full state) and notebook_analyze (analysis), though not explicitly naming alternatives.

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?

No guidance is provided on when to use this tool versus alternatives such as notebook_state or notebook_analyze. There is no mention of context, prerequisites, or exclusions.

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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