Samplyn

Compare Samplyn with another system

compare_with

Read-onlyIdempotent

An honest comparison of Samplyn with another system apparel companies use, row by row, with where the other one is stronger and which to pick. Competitors: aims360, apparelmagic, uphance, joor, nuorder, erp-plus-inspectorio.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "competitor": "<competitor>"
    },
    "name": "compare_with"
  }
}

Input Schema

Name	Required	Description	Default
`competitor`	Yes	Which system to compare with.

Output Schema

Name	Required	Description	Default
`kind`	Yes
`name`	Yes
`slug`	Yes
`table`	Yes
`summary`	Yes
`review_by`	Yes
`source_url`	Yes
`verified_on`	Yes
`which_to_pick`	Yes
`where_samplyn_fits`	Yes
`where_they_are_stronger`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedNov 13, 2026

TDQS

A3.8/5.0

Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and a closed world, so the safety profile is covered. The description adds genuine behavioral context beyond that: the comparison is framed as 'honest', deliberately covers where the competitor is stronger, and ends with a pick recommendation, which tells the agent what kind of content to expect and trust.

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

Conciseness5/5

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

One sentence states the deliverable and its shape, followed by a compact competitor list for quick scanning. Nothing is wasted and the core purpose is front-loaded.

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 one-parameter, read-only tool with an output schema and full annotation coverage, the description supplies what matters: what is compared, how the result is structured, and that it includes a recommendation. The only gap is routing guidance against the sibling informational tools.

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

Parameters3/5

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

There is a single required parameter with 100% schema coverage and a fully enumerated value list, so the schema does all the work. The description repeats the competitor names already present in the enum but adds no syntax, format or selection guidance beyond that.

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 names a specific verb and resource ('An honest comparison of Samplyn with another system') and characterizes the output as row-by-row, so an agent knows exactly what the tool produces. It does not explicitly differentiate itself from siblings like get_overview or get_capabilities, which is why it falls short of a 5.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied: an agent can infer this is the tool for 'how does Samplyn compare to X' questions, but the description never states that condition or when to prefer get_overview instead. No exclusions or prerequisites are given.

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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