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prime_context

Analyze project structure and documentation to provide essential context for AI assistants, enabling efficient workflow integration. Accepts project path or uses current directory.

Instructions

Prime project context by analyzing documentation and structure.

This tool analyzes the project structure and documentation to provide
context information for AI assistants working with the project.

Note: If project_path is omitted, not a string, or invalid, the current working
directory will be used automatically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
depthNoDepth of analysis (minimal, standard, deep)standard
project_pathNoPath to the project. If not provided or invalid, the current working directory will be used automatically
Behavior3/5

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 describes the core behavior (analyzing project structure/documentation) and adds useful context about the automatic fallback to current working directory when project_path is omitted/invalid. However, it doesn't disclose important behavioral traits like whether this is a read-only operation, potential performance implications of different depth levels, what specific context information is provided, or any rate limits/authentication requirements.

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 appropriately sized with three sentences that each serve a purpose: stating the core function, elaborating on the analysis purpose, and providing important behavioral context about parameter handling. It's front-loaded with the main purpose and avoids unnecessary verbosity while covering essential information.

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?

Given the tool has 2 parameters with full schema coverage but no annotations and no output schema, the description provides adequate basic context about what the tool does and parameter handling. However, for a tool that presumably returns analyzed context information, the lack of output schema means the description should ideally provide more information about what kind of context is returned. The description is minimally complete but could be more comprehensive.

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 description coverage is 100%, so the schema already fully documents both parameters. The description adds marginal value by reinforcing the project_path fallback behavior in the note, but doesn't provide additional semantic context beyond what's in the schema descriptions. The baseline of 3 is appropriate when the schema does the heavy lifting.

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's purpose: 'Prime project context by analyzing documentation and structure' and 'analyzes the project structure and documentation to provide context information for AI assistants working with the project.' This specifies the verb (analyze/prime), resource (project structure/documentation), and outcome (provide context for AI assistants). However, it doesn't explicitly differentiate from siblings like 'get_project_settings' or 'initialize_ide', which might have overlapping functionality.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides some implied usage context: it's for AI assistants working with a project, and the note about project_path handling gives practical guidance. However, it doesn't explicitly state when to use this tool versus alternatives like 'get_project_settings' or 'initialize_ide', nor does it provide clear exclusions or prerequisites for usage.

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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