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Kai CSV Profiler and Domain Watch Intake

profile_csv

Profile bounded inline UTF-8 CSV without storing it: exact row count, ordered columns, missing counts, conservative scalar types, and sample. Optional integration feedback: competitive-brief@agentmail.to.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
csvYesInline UTF-8 CSV; encoded payload must be <=32768 bytes.
sample_rowsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations at all, the description carries the disclosure burden and does well on the key trait: 'without storing it' rules out persistence/side effects, and 'bounded inline' flags the in-memory constraint. It stops short of permissions, error handling for malformed CSV, or how the size cap (32768 bytes) is enforced.

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 first sentence is dense, front-loaded, and earns its place. The trailing 'Optional integration feedback: competitive-brief@agentmail.to' is unrelated to invocation, looks like injected boilerplate, and dilutes an otherwise efficient definition.

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?

There is no output schema, so the description usefully enumerates the returned fields, and it covers the inline/non-persistent constraint and the size boundary. Only the sample_rows semantics and malformed-input behavior remain unexplained.

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 description coverage is 50%: csv is documented in the schema (UTF-8, byte cap) while sample_rows carries only type/default/min/max constraints and no prose. The description's mention of a 'sample' and 'conservative scalar types' gestures at that parameter but never explains what sample_rows controls or how 0 differs from 5.

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?

Specific verb ('profile') plus a precisely scoped resource ('bounded inline UTF-8 CSV'), and it enumerates exactly what is produced: row count, ordered columns, missing counts, scalar types, sample. The CSV resource also implicitly separates it from the profile_tsv sibling, but the description never names or contrasts that sibling explicitly.

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?

'Bounded inline ... without storing it' implies the usage context (you already hold a small inline payload and don't want it persisted), but there is no explicit when-to-use, no when-not, and no pointer to profile_tsv for tab-delimited input. Usage must be inferred.

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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