get_advice
[COST: ] Get random advice
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
[COST: ] Get random advice
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, but it only says the tool 'Get[s] random advice'. It does not mention whether this is a read-only network call, what the response contains, whether rate limits apply, or what the '[COST: ]' placeholder means. The incomplete '[COST: ]' token adds noise without explaining cost or usage 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 short and front-loaded, but the literal '[COST: ]' placeholder is leftover template text that does not earn its place and could confuse an agent. The core sentence is concise, but the overall structure is slightly sloppy.
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 zero-parameter tool with no annotations and an output schema available, the description is minimally sufficient for an agent to invoke it in a generic sense. However, it does not clarify what kind of advice is returned, whether the result is appropriate for various contexts, or what the '[COST: ]' marker intends to convey, leaving moderate ambiguity.
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?
The tool has zero parameters, so there is little semantic burden on the description. The schema already provides complete coverage, and the description correctly implies no arguments are needed. The baseline of 4 for no parameters 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 states a specific verb and resource ('Get random advice') so an agent can infer the basic function. However, it provides no differentiation from the many similar sibling tools like get_random_quote, get_dad_joke, and get_random_quote, all of which are also random content retrievers. The meaning of 'advice' is left somewhat vague.
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?
No guidance is given about when to use this tool versus alternatives. The description lacks any indication of when to prefer get_advice over get_bored_activity, get_random_quote, or suggest_activity. An agent must guess from the name alone.
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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