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vectr_status

Read-onlyIdempotent

Check index health and notes count at session start to decide if recalling stored notes is needed. Skip recall when no notes exist.

Instructions

Returns index health (files, chunks, embed model) AND notes_count (number of notes stored — earlier in this session or in prior sessions). Call once at the start of any session to decide whether vectr_recall is worth calling: if notes_count > 0, call vectr_recall(query=...) to retrieve relevant notes. If notes_count == 0, skip recall entirely. If your session already shows auto-injected Working Notes (vectr hooks), those ARE the recall output — do not re-call vectr_recall for them. Also useful when vectr_search returns nothing and you suspect indexing is still running.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnly and idempotent hints. Description adds decision-making context and clarifies return field semantics, enhancing transparency beyond annotations.

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 paragraph, front-loaded with what it returns, then usage guidance. Every sentence provides value, no fluff.

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 no parameters and no output schema, description fully explains return values and how to use them in context. Agent can determine when and how to invoke correctly.

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?

No parameters; schema coverage 100%. Description doesn't need to add parameter info. Baseline for 0 params is 4.

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?

Description clearly states it returns index health and notes_count. Specific verb 'Returns' and resource 'index health, notes_count'. Distinguishes from siblings by being the status/decision tool for vectr_recall.

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 says when to use (start of session), provides conditional logic (notes_count > 0 vs == 0), warns against re-calling for auto-injected notes, and mentions utility when vectr_search returns nothing.

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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