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Decian-Inc

connectsecure-mcp

by Decian-Inc

get_r_company_scheduler_id

Retrieve scheduler details by company scheduler ID. Provide route IDs, query filters, and headers to obtain the scheduler information.

Instructions

Retrieve scheduler Calls GET /r/company/scheduler/{id}. Provide route IDs in path_params, filters and pagination in query, and any required request headers in headers.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNo
queryNo
headersNo
path_paramsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.6/5.0
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, but it only says 'Retrieve' and the endpoint. It does not mention authentication requirements (beyond generic 'required request headers'), error behavior, pagination defaults, or whether the operation is read-only. The GET method implies safety, but the description itself adds minimal transparency.

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 concise, a single sentence that conveys the core operation and parameter placement without unnecessary filler. It front-loads the purpose and is easy to parse. It could arguably omit the endpoint URL since that is implied by the tool name, but it does not hurt.

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

Completeness3/5

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

For a simple GET-by-ID tool with an output schema available, the description covers the basic call structure. However, it lacks context about what a scheduler is, the meaning of the ID, and any required authentication headers beyond 'required'. It also doesn't hint at error cases or response shape, but the output schema may cover the latter. Overall, it is minimally adequate but not complete.

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

Parameters2/5

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

The schema has 0% description coverage, so the description must compensate. It does clarify that path_params hold the route ID and query holds filters/pagination, giving some meaning to those param categories. However, it does not specify the actual query keys, the expected format of route IDs, or anything about the body parameter, leaving significant ambiguity.

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

Purpose3/5

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

The description states the tool retrieves a scheduler and gives the exact endpoint, which is clear enough to know it fetches a specific scheduler by ID. However, it doesn't define what a 'scheduler' is or distinguish it from the sibling get_r_company_scheduler (likely the list version). It's not a tautology, but it lacks specificity about the resource's meaning.

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 basic instructions on where to place parameters (route IDs in path_params, filters/pagination in query, headers in headers), but it gives no guidance on when to use this tool versus the list sibling get_r_company_scheduler or other scheduler-related tools. There are no explicit conditions or exclusions, leaving the selection decision to inference.

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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