mcp-teslamate-fleet

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

With no annotations provided, the description carries full burden but offers minimal behavioral insight. It hints at read-only data analysis ('patterns') but doesn't disclose permissions needed, data freshness, rate limits, or output format. The description doesn't contradict annotations (none exist), but fails to compensate for their absence.

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

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

The description is a single, efficient sentence that front-loads the core purpose. It avoids redundancy and wastes no words, though it could be more informative. The structure is clear but minimalistic.

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

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

Given the tool has no parameters (simplifying input) and an output schema exists (handling return values), the description's vagueness is partially mitigated. However, for a data analysis tool with no annotations, it should better explain scope, data sources, or behavioral traits to be fully complete. It meets minimum viability but has clear gaps.

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

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 fully documents the absence of inputs. The description appropriately doesn't discuss parameters, aligning with the schema. A baseline of 4 is applied since no parameters exist and the description doesn't misleadingly suggest any.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Charging patterns by location — where you charge and how much' states what the tool does (analyzes charging patterns) but is vague about scope and format. It distinguishes from obvious siblings like 'tesla_charging_history' by focusing on location-based patterns, but lacks specificity about what 'patterns' entails or what time period is covered.

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

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 like 'tesla_charging_history' or 'tesla_top_destinations'. The description implies location-based analysis but doesn't specify use cases, prerequisites, or exclusions, leaving the agent to infer context from sibling names alone.

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