get_gtm_updates
Read reviewed updates, optionally for a company slug. Research additions are distinct from vendor announcements; monitoring coverage is explicit.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| company_id | No |
Read reviewed updates, optionally for a company slug. Research additions are distinct from vendor announcements; monitoring coverage is explicit.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| company_id | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so safety is covered. The description adds that only reviewed/curated updates are returned and that monitoring coverage is explicit, which is genuine behavioral context, but "monitoring coverage is explicit" is too terse to be actionable and the company_id/slug mismatch adds ambiguity.
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?
Short and front-loaded with the core action, which is good. However, the second sentence is compressed jargon that spends words without conveying a usable rule, so brevity here comes at the cost of clarity rather than from efficiency.
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?
A two-parameter read tool with no output schema and zero schema descriptions needs the description to explain what an update record contains and how results are ordered/bounded. It leaves both unstated, so an agent cannot predict the payload or pagination behavior.
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%, so the description must carry parameter meaning. It only alludes to the company filter (and calls it a "slug" while the schema calls it company_id), and says nothing about limit, its default of 10, or the maximum of 20.
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?
"Read reviewed updates" gives a verb and resource, and "optionally for a company slug" scopes it, but what constitutes an "update" stays abstract. The second sentence drifts into content taxonomy (research additions vs vendor announcements) rather than sharpening the tool's purpose against siblings like search_gtm_tools or research_gtm_question.
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?
The word "optionally" implies the company filter is elective, but there is no statement of when to call this instead of search_gtm_tools, research_gtm_question, or get_company_guide. No exclusions, no prerequisites, no trigger conditions are given.
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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