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table_set_field

Sets a field value in the current row of a form table, activates the editor, updates the row, and verifies the change.

Instructions

Set a field in the currently edited row of a form table.

Finds the editor field for the column (e.g. ТоварыНоменклатура), activates it, delegates to the general set_field_value logic, ends row editing, and verifies the value in the current table row.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowNo
fieldYes
tableYes
valueYes
session_idNodefault-18
search_limitNo
search_by_titleNo
create_if_missingNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.3

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. The description goes beyond a one-line summary by disclosing key behavioral traits: it activates the editor field, delegates to shared logic, ends row editing, and verifies the value in the row. This is valuable side-effect information.

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

Conciseness4/5

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

The description is compact and front-loaded: the first sentence states the core action immediately, and the second adds process detail. The illustrative column name is slightly extraneous but harmless, and every sentence serves a purpose.

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?

For an 8-parameter mutation tool with no annotations and no output schema, the description is not complete enough. It omits parameter semantics, expected row state, return value, and failure behavior, so an agent would likely need to inspect other tools or schemas to invoke this correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description must explain the parameters, but it only clarifies 'field' (a column) and 'value' indirectly. Critical parameters like row, table, search_limit, search_by_title, create_if_missing, and session_id remain entirely unexplained, leaving an agent to guess their roles.

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?

The description states a specific verb ('Set') and a precise resource ('field in the currently edited row of a form table'), which clearly distinguishes it from general tools like set_field_value. It also summarizes the internal flow, leaving no doubt about what operation is performed.

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?

The phrase 'currently edited row' implies the intended use context, and referencing 'the general set_field_value logic' hints at a specialized variant. However, it does not explicitly say when to prefer this over sibling tools like table_set_row_values or table_begin_edit, nor does it mention exclusions or preconditions.

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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