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recruiting-ops-mcp

by r28ai
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Python
Remote

gsheets_spreadsheets_values_append

Append values to a Google Sheets spreadsheet by specifying a range and data. Use for adding candidate or recruiting data to existing sheets.

Instructions

Appends values to a spreadsheet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rangeYesThe A1 notation of a range to search for a logical table of data. Values are appended after the last row of the table.
valueRangeYesThe request body contains an instance of ValueRange.
spreadsheetIdYesThe ID of the spreadsheet to update.
insertDataOptionNoHow the input data should be inserted.
valueInputOptionYesHow the input data should be interpreted.
includeValuesInResponseNoDetermines if the update response should include the values of the cells that were appended. By default, responses do not include the updated values.
responseValueRenderOptionNoDetermines how values in the response should be rendered. The default render option is FORMATTED_VALUE.
responseDateTimeRenderOptionNoDetermines how dates, times, and durations in the response should be rendered. This is ignored if responseValueRenderOption is FORMATTED_VALUE. The default dateTime render option is SERIAL_NUMBER.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations provide readOnlyHint=false and openWorldHint=true, indicating a mutating, external operation. The description adds nothing beyond this – it doesn't disclose how appended data interacts with existing tables, whether headers are auto-detected, or rate-limit/permission requirements. For a mutation tool, this is a significant gap.

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?

Single, front-loaded sentence that wastes no words. However, the extreme brevity contributes to gaps elsewhere.

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 (8 parameters, nested value types, mutation behavior), the description is critically underspecified. It omits key behavioral details like how the append range is determined, interaction with existing data, and available options (insertDataOption, valueInputOption). No output schema exists to compensate.

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 100%, so parameters are fully documented in the schema. The description adds no parameter-level detail beyond what's already provided. Baseline 3 is appropriate.

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 states a specific verb (appends) and resource (values to a spreadsheet), which is clear but does not differentiate from the sibling gsheets_spreadsheets_values_update or clarify the 'logical table' append behavior. It's clear but lacks sibling differentiation within the gsheets tool family.

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 on when to use this tool vs alternatives like gsheets_spreadsheets_values_update, and no mention of required preconditions or idempotency considerations. The description is silent on usage context.

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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