Skip to main content
Glama

teslamate_resume_logging

Resume logging for a TeslaMate car using its car ID to re-enable data tracking after a pause.

Instructions

Resume logging for a TeslaMate car id via PUT /api/car/:id/logging/resume.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
carIdYes
userIdNo
authorizationKeyNo
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'resume logging' without mentioning side effects, required permissions, rate limits, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and front-loaded, but conciseness comes at the expense of necessary detail. It is not verbose, but the missing information reduces utility.

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

Completeness1/5

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

Given no output schema, no annotations, and three parameters with no explanation, the description is insufficient for an agent to use the tool correctly. It lacks success/error responses, prerequisites, and parameter details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, and the description does not explain any of the three parameters (carId, userId, authorizationKey). The agent cannot infer their purpose or constraints beyond the schema.

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 action (resume logging) and resource (TeslaMate car id) along with the HTTP method. However, it does not differentiate from sibling tools like teslamate_suspend_logging, which is a closely related operation.

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?

The description provides no guidance on when to use this tool versus alternatives (e.g., suspend_logging) or any prerequisites such as car status or auth requirements.

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/LesterAJohn/TeslaMate-mcp'

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