Skip to main content
Glama
manish6007

Combined MCP Server

by manish6007

get_vectorstore_status

Check the current status of the knowledge base vector store to monitor build progress, document count, and cache statistics.

Instructions

Get the current status of the knowledge base vector store.

Returns build status, document count, and cache statistics.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses the return content (build status, document count, cache statistics) which is valuable behavioral information. However, it doesn't mention performance characteristics, error conditions, rate limits, or authentication requirements that would be helpful for a status-checking tool.

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 perfectly concise with two sentences that each earn their place. The first sentence states the purpose, the second describes return values. No wasted words, well-structured, and front-loaded with the core functionality.

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

Completeness4/5

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

Given the tool has an output schema (which handles return value documentation), no parameters, and no annotations, the description provides adequate context. It clearly states what the tool does and what information it returns. For a simple status-checking tool with output schema support, this is reasonably complete, though could benefit from more behavioral context.

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 0 parameters with 100% schema description coverage, so the schema already fully documents the empty parameter set. The description appropriately doesn't discuss parameters since none exist, earning a baseline 4 for parameter semantics when no parameters need explanation.

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 as 'Get the current status of the knowledge base vector store' with specific verb ('Get') and resource ('knowledge base vector store'). It distinguishes from siblings like 'build_vectorstore' (creation) and 'query_vectorstore' (querying), but doesn't explicitly contrast with all siblings like 'describe_table' or 'list_tables'.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description doesn't mention prerequisites, timing considerations, or contrast with similar tools like 'describe_table' or 'list_schemas' that might provide related metadata. Usage context is implied but not explicit.

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/manish6007/mcp_servers'

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