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get_minimal_context

Read-onlyIdempotent

Get project orientation in a single call: returns project shape, top risk hotspots, key files, communities, and task-driven next-tool suggestions. Use at session start to reduce token usage.

Instructions

Single-call orientation context (~150 tokens). Returns project shape, top 3 risk hotspots, top 3 PageRank-central files, top 3 communities, and 3-5 task-routed next-tool suggestions. Use at session start instead of chaining get_project_map + get_pagerank + get_risk_hotspots + get_communities. The optional task argument biases the suggestions toward review / refactor / debug / add_feature / understand. Read-only. Returns JSON: { project, health, communities, next_steps }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskNoNatural-language description of what you are about to do — drives the next_steps ranking. If omitted, returns the "understand" suggestion set.
intentNoExplicit intent override. Wins over keyword inference from `task`.
Behavior5/5

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

Annotations declare readOnlyHint=true, and description confirms 'Read-only.' Additionally, it describes return format and effect of `task` argument, adding value beyond structured fields.

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?

Three sentences, each packed with necessary information. Front-loaded with purpose and scope, no wasted words.

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

Completeness5/5

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

Despite no output schema, the description lists the JSON structure (project, health, communities, next_steps). All critical aspects of the tool's behavior and output are covered.

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

Parameters4/5

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

Schema coverage is 100%, and description explains that `task` biases suggestions and `intent` overrides keyword inference, adding meaning beyond the schema.

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

Purpose5/5

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

The description clearly states it provides a single-call orientation context, listing specific components (project shape, top risk hotspots, etc.). It distinguishes itself from sibling tools like get_project_map and get_risk_hotspots by being a consolidated call.

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

Usage Guidelines5/5

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

Explicitly recommends using at session start instead of chaining multiple tools. Mentions optional `task` argument biases suggestions, providing clear when-to-use guidance.

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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