Skip to main content
Glama
reflex-search

Reflex

Official

check_index_status

Assess the health of the search index: find out if it is fresh, stale, or missing. Call this before searching to ensure accurate results.

Instructions

Check whether the Reflex search index is fresh, stale, or missing — without running any search.

CALL THIS FIRST at the start of every session and before any significant search task. If the index is stale or missing, call index_project before searching.

Returns:

  • status: "fresh" | "stale" | "missing"

  • reason: why the index is stale (branch not indexed, commit changed, files modified)

  • action_required: command to fix the issue (always rfx index when stale)

  • files_modified: number of recently modified files detected (only present for mtime-based staleness)

When to call:

  • At the start of every agent session

  • Before any bulk search or refactoring task

  • After a git operation (checkout, merge, rebase, pull)

Example fresh response: {"status": "fresh"} Example stale response: {"status": "stale", "reason": "Commit changed from abc1234 to def5678", "action_required": "rfx index"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior5/5

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

With no annotations, the description fully discloses behavior: it does not perform any search, returns status/reason/action_required/files_modified, and provides example responses. No contradictions.

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?

The description is well-structured with clear sections (Returns, When to call, Examples). It is appropriately sized, every sentence provides useful information without redundancy.

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 output schema and no annotations, the description is remarkably complete. It covers all return fields, explains each possible status, and gives actionable instructions, ensuring the agent can use the tool effectively.

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 tool has zero parameters, so baseline is 4. The description adds value by detailing the return structure and behavior beyond what the empty schema provides.

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 checks whether the Reflex search index is fresh, stale, or missing without running a search. It distinguishes itself from sibling tools like index_project and search tools by explicitly stating its role as a preliminary check.

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?

The description explicitly says 'CALL THIS FIRST' at the start of every session and before significant search tasks. It provides specific when-to-call scenarios (session start, bulk search, refactoring, after git operations) and directs to call index_project if index is stale.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/reflex-search/reflex'

If you have feedback or need assistance with the MCP directory API, please join our Discord server