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Systeme.io: Update page text

systeme-io_update_page_text

Systeme.io: Change the text of chosen elements on a funnel page and save it; the rest of the page stays as it is. Changes the text of the elements you name and saves the page. Other elements, images and settings are not touched. On a live funnel visitors see the change at once. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
changesYesMap of element_id from get_page_content to new text.
step_idYesFunnel step ID from list_funnel_steps.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly=false, destructive=false, openWorld=true, so the safety profile is covered. The description adds real behavioral context beyond that: only named elements change, images/settings are untouched, live visitors see changes immediately, every call confirms by default (switchable), and the user's API key is required. It does not describe error/failure behavior or what a successful response contains.

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

Conciseness3/5

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

Front-loaded intent is good, but the opening three sentences restate the same idea (text of named elements changes, everything else stays) three times, and the Cotlet/confirmation sentences are appended without clear ordering. It is not bloated, but it is noticeably redundant.

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

Completeness4/5

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

For a mutation tool with annotations and no output schema, the description covers the essential facts: what changes, what is preserved, live-visibility, confirmation default, and credential requirement. It stops short of mentioning how to obtain valid step/element IDs or any failure modes, which would round it out.

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 the schema already documents both step_id and changes, including the element_id -> text mapping and sourcing from get_page_content/list_funnel_steps. The description adds no parameter-level meaning beyond what the schema provides, so the baseline 3 applies.

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 concrete verb (change the text) and resource (elements on a funnel page), scoped precisely with 'chosen elements' and 'the rest of the page stays as it is'. It does not name the sibling it complements (get_page_content / list_funnel_steps), but the read-vs-write distinction is clear without opening schemas.

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?

Implies usage context (edit existing page text and save) and adds operational guidance about the default per-call confirmation, but never states when to use this vs alternatives such as get_page_content or other funnel-step tools, nor any prerequisites like fetching element IDs first.

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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