List logged SEO changes
list_seo_changesList the on-page changes logged for a website and their measured effect.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| siteId | Yes | ||
| projectId | Yes |
list_seo_changesList the on-page changes logged for a website and their measured effect.
| Name | Required | Description | Default |
|---|---|---|---|
| siteId | Yes | ||
| projectId | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds that entries include a 'measured effect', which is useful content context, but says nothing about ordering, date ranges, limits, or whether results are scoped per site or project.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence that names the verb, resource and scope with no filler. It is lean, though the leanness comes at the cost of the missing detail noted elsewhere.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and both parameters undocumented, an agent must guess what siteId/projectId accept and what a 'measured effect' looks like in the response. For a two-parameter list tool the description is workable but clearly under-specified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and neither siteId nor projectId carries any description. The phrase 'for a website' loosely maps to siteId but leaves projectId unexplained and does not say what identifies a change record. The description does not compensate for the schema gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Specific verb 'List' plus the resource 'on-page changes logged for a website', and it adds scope with 'their measured effect'. It is clearly a read of logged changes, distinguishable from the write-side sibling log_seo_change, though it never names that sibling.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied: retrieve the log of changes already recorded for a site. There is no explicit when-to-use statement, no mention of the log_seo_change counterpart that produces these entries, and no guidance on filtering or pagination.
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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