Skip to main content
Glama

reset_performance_metrics

Clear all performance metrics and receive confirmation that the reset was successful.

Instructions

Reset all performance metrics and return confirmation.

Returns: Dictionary confirming metrics have been reset.

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, the description must disclose behavior itself. It states that all performance metrics are reset and that confirmation is returned, but it does not warn that the action is irreversible or describe any side effects. This is minimal but not misleading.

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 very concise and front-loaded, with no filler. However, the 'Returns:' line is likely redundant if an output schema is present, so it does not earn full marks for economy.

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?

For a zero-parameter reset tool with an output schema, the description gives the core action and result. It lacks an explicit caution about destructiveness or a reference to the read-only sibling, but it is sufficiently complete for a simple reset operation.

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 there is no parameter information to explain. The baseline of 4 applies because the description does not need to compensate for undocumented parameters.

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 uses a specific verb ('Reset') and names the precise resource ('all performance metrics'), clearly distinguishing it from the read-only sibling get_performance_metrics. It also states the return behavior, making the tool's purpose unambiguous.

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 given about when to use this tool versus alternatives. It does not mention that it is the destructive counterpart to get_performance_metrics or suggest checking metrics before resetting, so the context for appropriate use is absent.

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/fastmcp-me/mnemex'

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