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jshsakura

mfa-servicenow-mcp

by jshsakura

sn_schema

Retrieve field names, types, labels, and constraints from ServiceNow sys_dictionary for any table. Use this to understand table schema and plan data operations.

Instructions

Fetch field names, types, labels, and constraints from sys_dictionary for a given table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
tableYes
Behavior2/5

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

No annotations are provided, so the description must disclose all behavioral traits. It does not mention whether the operation is read-only, if it has side effects, or any rate limits. The description only states what data is fetched, but not how it behaves.

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 a single concise sentence that front-loads the core purpose. It contains no unnecessary words or fluff, though it could be slightly improved by adding a brief note about the optional limit parameter.

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?

Given the tool has 2 parameters and no output schema, the description reasonably explains what is returned. However, it does not clarify how the 'limit' parameter affects results or if there is pagination, which is important for a data-fetching tool.

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?

Schema description coverage is 0%, so the description must add meaning for each parameter. It mentions the 'table' parameter implicitly, but the 'limit' parameter is entirely undocumented. The description does not explain the default behavior or constraints of the parameters.

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

Purpose5/5

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

The description clearly states the action ('Fetch'), the resource ('field names, types, labels, and constraints from sys_dictionary'), and the context ('for a given table'). It distinguishes from sibling tools that perform different operations like querying or aggregating data.

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 no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or exclusions. An agent receives no context for choosing this over other sibling tools.

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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