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vectr_map

Read-onlyIdempotent

Obtain a compact structural overview of an unfamiliar codebase at session start without reading files. Returns a plain-English summary or raw metadata.

Instructions

Use at the start of a session on an UNFAMILIAR codebase to get a structural overview without reading any files. If a passport has been saved: returns a compact (~300 token) plain-English summary instantly. If not yet saved: returns raw structural metadata (dir tree, languages, frameworks) and instructs you to call vectr_map_save with your synthesised summary. NOT needed if you already know the codebase structure. NOT a substitute for vectr_recall — call vectr_status first to check for prior notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

The description adds behavioral context beyond annotations: it explains that the tool returns a compact summary if a passport is saved, or raw metadata with instructions otherwise. It also states it does not read files. This aligns with readOnlyHint and idempotentHint without contradiction.

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 front-loaded with the key use case and conditional behavior. While somewhat lengthy, every sentence provides essential information. It could be slightly more concise but is well-structured.

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?

Given the tool's conditional behavior and lack of output schema, the description thoroughly explains both possible outcomes and actionable next steps. It also mentions sibling tools for context, making it complete for the agent's decision-making.

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?

The input schema has zero parameters, so the description doesn't need to explain parameters. However, it adds meaningful context about the conditional behavior and return types, which compensates for the lack of parameters. A score of 4 is appropriate as it fully covers what the tool expects and does.

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 the tool's purpose: to get a structural overview of an unfamiliar codebase at the start of a session. It specifies the output based on whether a passport is saved, distinguishing it from related tools like vectr_recall and vectr_status.

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?

Explicit usage guidance is provided: it should be used at the start of a session on an unfamiliar codebase, and not when the codebase is already known. It also directs to call vectr_status first and mentions vectr_map_save as a follow-up if needed.

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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