get_capabilities
Read supported PDF languages, output formats and limits.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read supported PDF languages, output formats and limits.
| 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 the operation as read-only, idempotent, and non-destructive, so the description does not contradict them. The description adds that the tool returns capability categories, but it does not disclose additional behavioral context such as whether results are cached, static, or dependent on account state.
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 sentence with no wasted words. The verb and resource are front-loaded, making the purpose immediately clear.
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 capability query, the description covers what the tool returns and the annotations cover the safety profile. The only minor gap is that 'limits' is somewhat ambiguous relative to the sibling get_quota, but this is unlikely to block correct use.
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 and an empty schema, so there is no parameter information for the description to supplement. The baseline of 4 applies because no parameter semantics are needed.
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 ('Read') and a concrete resource ('supported PDF languages, output formats and limits'), making the tool's function clear. However, it does not explicitly differentiate itself from siblings like get_quota, which could also relate to limits.
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 description implies when to use the tool: when you need to know supported languages, output formats, or limits. It provides no explicit context, exclusions, or alternatives, leaving the agent to infer the usage situation from the verb and resource.
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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