Restore a previously deleted service package by ID.
| Name | Required | Description | Default |
|---|---|---|---|
| packageId | Yes | Service package ID to restore |
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes | Tool result payload — shape varies per tool, see the tool description | |
| summary | Yes | One-line human-readable summary of the action | |
| renderType | Yes | UI rendering hint for the result |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds minimal behavioral context beyond the annotations. It does not disclose prerequisites, side effects, or behavior in edge cases (e.g., already active package). Annotations provide only basic hints (readOnly=false, destructive=false).
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?
The description is a single front-loaded sentence with no redundant words, making it highly concise and easy to parse.
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?
The description is adequate for a simple tool with one parameter and an existing output schema, covering the core action. However, it lacks usage alternatives and deeper behavioral details, leaving some gaps for an agent.
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 coverage is 100% with a clear description for packageId. The description's 'by ID' adds no new info, though 'previously deleted' implies the ID must reference a deleted package. Baseline 3 applies.
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?
The description clearly states the action ('restore'), the target resource ('service package'), and a qualifier ('previously deleted'), making it distinct from sibling restore tools.
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 phrase 'previously deleted' establishes clear context for when to use this tool. It does not explicitly name alternatives, but the context is sufficient for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools have overlapping boundaries, such as generate_post_cover/attach_post_cover_from_job/upload_post_cover_from_url, update_deal/update_deal_stage/mark_deal_won/mark_deal_lost, and booking status transitions (confirm/cancel/complete/mark_no_show). The catch-all execute_tool adds further ambiguity.
Nearly all tools follow a consistent verb_noun snake_case convention (create_*, list_*, get_*, update_*, delete_*, restore_*). Minor exceptions like 'clone' and 'execute_tool' are still readable and do not significantly break the pattern.
With 223 tools, the server is extremely over-scoped. Even for a full CRM platform, this many tools overwhelms context windows and makes tool selection impractical. It far exceeds the reasonable range for an MCP server.
The surface is broad but has notable gaps: no update_booking/delete_booking, no delete_product, no send_message/send_campaign (referenced but absent), and no delete_staff/resource. Some workflows dead-end or require manual approval steps.