Lister les services
list_servicesListe tous les services de Psychologie & Sérénité (tests, blog, livres, assistant, Salon Psy, salon communautaire, ScanMyLove, ScanMyJob) et leurs langues.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list_servicesListe tous les services de Psychologie & Sérénité (tests, blog, livres, assistant, Salon Psy, salon communautaire, ScanMyLove, ScanMyJob) et leurs langues.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety and idempotency profile is covered. The description adds that it returns the full catalog and each service's supported languages, but says nothing about result size or ordering.
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 is just as long as it needs to be, though the long parenthetical enumeration of service names is somewhat heavy. Every element is informative, so nothing is wasted.
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, read-only listing tool with no output schema, the description goes a good way toward compensating by naming the categories returned and noting the language dimension. Return format details (field names, ordering) remain undisclosed, which is the only real gap.
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 takes zero parameters, so the baseline is 4 and there is nothing for the description to disambiguate. The mention of 'leurs langues' hints at the returned data shape but is not a parameter concern.
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 gives a clear verb ('Liste') plus resource ('services') and even enumerates the service categories covered (tests, blog, livres, assistant, Salon Psy, etc.), so the scope is unambiguous. It does not explicitly name a sibling like describe_service, but the 'all services' framing makes the list-vs-detail split inferable.
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 explicit when-to-use or when-not-to-use guidance and no alternatives named. Usage is only implied by the broad, unfiltered 'tous les services' framing, which is adequate for a zero-parameter discovery tool but leaves the agent to infer that describe_service is the follow-up.
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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