quiqqer_mcp_skill_get
Returns the skill metadata and full instruction body by name. Read the instructions before performing the matching task.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes |
Returns the skill metadata and full instruction body by name. Read the instructions before performing the matching task.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the burden of behavioral disclosure. It does reveal that the tool returns both metadata and full instruction body, which is helpful. However, it does not disclose error behavior, name uniqueness, or whether repeated calls are expected, leaving some ambiguity for a read operation.
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 two sentences with no filler. The primary function is front-loaded, and the usage reminder is concise and actionable. Every word earns its place.
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 simple single-parameter retrieval tool, the description is nearly complete. It states what is returned and suggests a usage context. It does not mention enumerating available names via a list tool, but this is a minor gap given the simplicity and the existence of sibling list tools.
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 compensate. It adds the meaning that the 'name' parameter is the name of the skill to retrieve. This is minimal but sufficient for a single string parameter; the tool's behavior is otherwise straightforward.
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 states a specific verb and resource: 'Returns the skill metadata and full instruction body by name.' This clearly identifies the tool as a getter. However, it does not distinguish itself from the sibling quiqqer_skill_get, which likely serves a very similar purpose.
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?
The instruction to 'Read the instructions before performing the matching task' implies this should be used before executing a related task. It provides useful context but does not explicitly state when to choose this tool over quiqqer_skill_get or list tools, nor does it mention any exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The two list tools and two get tools are functionally identical, differing only by prefix. An agent cannot reliably determine whether to call quiqqer_mcp_skill_get or quiqqer_skill_get, though list vs get is at least clear.
The set mixes quiqqer_mcp_skill_* and quiqqer_skill_* naming conventions for the same operations, and the server name 'IBAN Validation MCP' has no relation to QUIQQER or skill retrieval. No predictable naming pattern emerges.
Four tools is not an unreasonable number, but the surface is padded with two duplicate pairs that reduce the effective count to two. The count is acceptable only if the redundancies are treated as accidental.
Given the server name, users would expect IBAN validation operations, but the tools only retrieve QUIQQER skill metadata and instructions. There are no validation, format-checking, or account-related operations at all.