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build_context_pack

Collect files, symbols, and tests related to a natural language task into a token-efficient context pack.

Instructions

Assemble a comprehensive, token-efficient context pack of files, symbols, and tests relevant to a natural language task description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoThe output format of the context pack.
limitNoMaximum number of context results to include. Defaults to 20.
taskYesA natural language description of the task to gather context for.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions 'token-efficient' and 'comprehensive' but does not disclose whether the tool performs searches, requires an index, or has side effects. The behavioral traits are unclear.

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

Conciseness5/5

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

Single sentence with no unnecessary words. Effectively communicates the core function.

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

Completeness3/5

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

The description covers the basic purpose, but given the lack of annotations and no output schema, more context is needed about what the context pack contains, how it is generated, and when to prefer this over similar tools.

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

Parameters3/5

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

Schema coverage is 100% with descriptions for all three parameters. The tool description adds minimal value beyond the schema (e.g., 'token-efficient' but not tied to a parameter). Baseline of 3 is appropriate.

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 tool assembles a context pack from files, symbols, and tests based on a task description. It uses a specific verb ('assemble') and resource, but doesn't fully differentiate from siblings like 'build_compressed_context' or 'retrieve_context'.

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 on when to use this tool versus alternatives. With 41 sibling tools, the description should provide explicit usage context 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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