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Glama

Coda Delete Row

coda_delete_row
Destructive

Permanently delete a single row from a Coda table using its doc ID, table ID or name, and row ID or name. Verify the row first because this action is irreversible.

Instructions

Delete a single row from a Coda table.

Permanently removes the row. This is irreversible. Verify the row with coda_get_row before deleting. For bulk deletion, use coda_delete_rows with a list of row IDs instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doc_idYesThe doc ID containing the table
row_id_or_nameYesRow ID or name to delete
table_id_or_nameYesTable ID or name

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.14

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true and readOnlyHint=false, so the safety profile is partly structured. The description adds real context beyond that: the removal is permanent and irreversible, plus a recommended verification step. It stops short of stating permission/ACL requirements or any error behavior, so it is not a 5.

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?

Three short sentences, front-loaded with the action, then irreversibility, then verification and the alternative. No filler; every sentence carries a distinct piece of information.

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

Completeness5/5

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

For a destructive single-row tool with full schema coverage, an output schema (so return values need no prose), and annotations covering safety, the description supplies everything else an agent needs: irreversibility, a verification precondition, and the bulk alternative.

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% and all three parameters (doc_id, table_id_or_name, row_id_or_name) are documented in the schema. The description adds no format hints (e.g., whether a row name is accepted vs. an ID) beyond what the schema already says, so the baseline 3 applies.

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?

States a specific verb (Delete) and resource (a single row from a Coda table), with the scope word 'single' explicitly distinguishing it from the bulk sibling. An agent can tell it apart from coda_delete_rows without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Names a concrete precondition ('Verify the row with coda_get_row before deleting') and an explicit alternative with the selecting condition ('For bulk deletion, use coda_delete_rows with a list of row IDs instead'). When-to-use and when-to-use-something-else are both covered.

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