Skip to main content
Glama

Update Setting

update_setting
Destructive

Change a LinkedIn settings section option by specifying its section URL, setting name, and desired value; supports dry runs to locate a setting without modifying it.

Instructions

Update a setting in a LinkedIn settings section.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe setting name as shown on the page.
valueYesThe desired value (matched against option text for selects; for checkboxes/switches the click toggles).
dry_runNoWhen True, locate the setting but do not change it.
section_urlYesFull URL of the settings section.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.26.2

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare destructiveHint=true and openWorldHint=true, so the mutation and external-effect profile is covered. The description adds nothing beyond that – it does not explain matching semantics, that values are clicked against option text, reversibility, or auth needs. With annotations carrying safety, this is a minimal contribution.

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?

A single front-loaded sentence with no wasted words. It is efficient, though the brevity borders on under-specification rather than pure conciseness.

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

Completeness3/5

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

An output schema exists so return values needn't be explained, and the schema covers all parameters. However, for a destructive write tool the description should at least hint at the dry_run option and the prerequisite of obtaining a section URL, which it omits.

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 all four parameters (including dry_run and the option-text matching for value) are documented in the schema itself. The description adds no parameter detail beyond what the schema provides, making the baseline 3 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?

States a specific verb (update) and resource (a setting within a LinkedIn settings section), which distinguishes it from read-only siblings like get_setting and list_settings_sections. It does not explicitly contrast itself with those siblings, but the mutation verb makes the intent clear.

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 offers no when-to-use guidance, no prerequisites (e.g., needing the section URL from list_settings_sections or verifying the current value with get_setting), and no mention of the dry_run workflow. The agent must infer usage entirely from the name and schema.

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