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ricCap

Sketch Engine MCP Server

by ricCap

get_frequency_distribution

Retrieve frequency distribution of a query in a corpus by specifying attributes and context positions. Analyze word usage patterns efficiently.

Instructions

Get frequency distribution for a query

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
qYesQuery string
formatNoResponse formatjson
ml1ctxYesContext position for first attribute
ml2ctxNoContext position for second attribute (optional)
ml1attrYesFirst frequency attribute
ml2attrNoSecond frequency attribute (optional)
corpnameYesName of the corpus
Behavior1/5

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

With no annotations, the description must disclose behavior, but it only states the basic function. No mention of output format, data scope, rate limits, or side effects.

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

Conciseness3/5

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

The description is a single sentence with no wasted words, but it omits important information, making it too terse for a tool with 7 parameters.

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

Completeness2/5

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

Given the complexity (7 params, no output schema, no annotations), the description is inadequate. It does not explain the meaning of frequency distribution or how optional parameters interact.

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?

Schema coverage is 100%, so the baseline is 3. The description adds no additional parameter context beyond what the schema already provides.

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 clearly states the tool retrieves a frequency distribution for a query, which is specific and distinguishable from sibling tools like get_concordance or get_collocations.

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?

No guidance is provided on when to use this tool versus alternatives, nor does it specify prerequisites or typical use cases.

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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