Compare connectors
compare_connectorsSide-by-side hands-on results for 2 to 10 connector slugs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slugs | Yes |
compare_connectorsSide-by-side hands-on results for 2 to 10 connector slugs.
| Name | Required | Description | Default |
|---|---|---|---|
| slugs | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
readOnlyHint=true already establishes that this is a safe read. The phrase 'hands-on results' does add useful context that the tool may perform live probing rather than reading cached data, hinting at latency or cost. Beyond that it says nothing about timeouts, partial failures, or what happens if a slug is unknown.
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?
One sentence, front-loaded, with no filler. It is appropriately terse, though the terseness comes at the cost of the missing detail noted in other dimensions rather than being a model of economical precision.
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?
For a read-only aggregation tool with no output schema and zero schema description coverage, the description should indicate what the comparison returns and how the count constraint actually works. It omits the return shape entirely and leaves the slug-count conflict with the schema unresolved.
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?
Schema description coverage is 0%, so the description must carry the parameter semantics. It states a '2 to 10' slug range, which is partially useful, but that range contradicts the schema's minItems=1 (and maxItems=10), so an agent may wrongly reject a valid single-slug call or pass an invalid two-slug call with false confidence.
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 name and title give a clear verb+resource (compare connectors), and the description adds that output is side-by-side results. However, 'hands-on results' is vague about what dimension is being compared (features, pricing, live status, integration behavior), so an agent cannot distinguish this from get_connector_report or check_connector_status on the basis of the description alone.
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 when-to-use guidance, no prerequisites, and no mention of the sibling tools (list_connectors, get_connector_report, check_connector_status). An agent must infer from the name that this is the multi-connector comparison entry point rather than a single-connector lookup.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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