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filter_rows

Filter rows in Excel or CSV files by applying conditions to column values, enabling targeted data extraction and analysis.

Instructions

Filter rows based on column values

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": {
      "filePath": "<filePath>",
      "column": "<column>",
      "condition": "<condition>",
      "value": "<value>"
    },
    "name": "filter_rows"
  }
}

Input Schema

Name	Required	Description
`filePath`	Yes	Path to the CSV or Excel file
`column`	Yes	Column name or index (0-based)
`condition`	Yes	Condition: equals, contains, greater_than, less_than
`value`	Yes	Value to compare against
`sheet`	No	Sheet name for Excel files (optional)

Schema Changelog

Changes observed during successful MCP inspections.

First observedv1.0.0Jan 2, 2026

TDQS

C2.9/5.0

Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool filters rows but doesn't mention whether this is a read-only operation, if it modifies the original file, what the output format is (e.g., returns filtered data or saves to a new file), or any performance considerations like handling large files. For a tool with 5 parameters and no annotations, this leaves significant behavioral gaps.

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?

The description is a single, efficient sentence with zero waste: 'Filter rows based on column values'. It's front-loaded with the core action and resource, making it immediately understandable without unnecessary elaboration. Every word earns its place by specifying the tool's purpose directly.

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 tool's complexity (5 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain the return values (e.g., whether filtered data is returned or saved), behavioral traits like file modification, or how it differs from sibling tools. For a data filtering tool with multiple parameters, this minimal description leaves too much unspecified for effective agent use.

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?

The schema description coverage is 100%, with each parameter well-documented in the input schema (e.g., 'filePath' as path to CSV/Excel, 'condition' with enum values). The description adds no additional parameter semantics beyond what's in the schema, such as examples or edge cases. With high schema coverage, the baseline score of 3 is appropriate as the schema does the heavy lifting.

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 'Filter rows based on column values' clearly states the tool's function with a specific verb ('filter') and resource ('rows'), and it specifies the filtering mechanism ('based on column values'). However, it doesn't distinguish this tool from sibling tools like 'bulk_filter_multi_files' or 'search', which might offer similar filtering capabilities with different scopes or approaches.

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. With sibling tools like 'bulk_filter_multi_files' (for multiple files) and 'search' (which might offer broader search functionality), there's no indication of this tool's specific context, prerequisites, or exclusions. Usage is implied only by the tool name and description, lacking explicit when/when-not instructions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.