get_event
One event with its full speakers[] (name, title, company, LinkedIn) and sponsors[] (company, tier). 1 credit per person or sponsor.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | event slug, e.g. saastr-annual-2026 |
One event with its full speakers[] (name, title, company, LinkedIn) and sponsors[] (company, tier). 1 credit per person or sponsor.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | event slug, e.g. saastr-annual-2026 |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden of behavioral disclosure. It does disclose the credit cost per person or sponsor, which is valuable and non-obvious. However, it does not state whether the call is purely read-only, what happens when the slug is not found, or any limits/error behavior.
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 compact sentence that front-loads the resource and the key returned structures, then adds the cost model in a compact second clause. Every part contributes useful information with no filler.
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?
For a simple one-parameter getter with no output schema, the description adequately explains the return shape and includes the important credit cost. It could be more complete by noting the event's own fields, but 'full' combined with the nested arrays gives the agent enough to decide and call correctly.
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% and the slug parameter already has a clear description with an example. The tool description adds no parameter-level meaning beyond 'one event', so it does not improve on what the schema provides. Baseline 3 is appropriate.
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 identifies the resource as a single event and enumerates the returned nested data: speakers[] with name, title, company, LinkedIn, and sponsors[] with company and tier. It is distinguishable from sibling search tools by emphasizing 'one event', though it never states the action verb explicitly.
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?
There is no guidance about when to use get_event versus search_events or other siblings. The description implies it is for retrieving a single known event, but it does not say 'use when you have a slug' or mention that search_events should be used for discovery.
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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