get_schema
Read one saved extraction schema by name.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Lowercase letters, digits, underscores, and hyphens. No spaces. |
Read one saved extraction schema by name.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Lowercase letters, digits, underscores, and hyphens. No spaces. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, but 'Read' unambiguously declares a non-mutating operation. However, the description says nothing about behavior when the name does not exist (error vs empty), which matters for a lookup tool with zero annotation coverage.
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 with zero waste; the verb and scope land immediately.
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 one-parameter read tool this is nearly sufficient, but with no output schema the description never indicates what is returned (the schema definition object, presumably) or how missing names are handled.
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 schema itself documents the name format constraints (lowercase, pattern, max length). The description only echoes 'by name' and adds no syntax or format guidance beyond the schema, so 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?
States a specific verb ('Read') and resource ('one saved extraction schema') and scopes it to a single item by name, which implicitly contrasts with list_schemas. It stops short of naming siblings explicitly, but the singleton scope is clear.
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?
'By name' implies the caller already knows the identifier, hinting at lookup-after-list. There is no explicit statement of when to prefer this over list_schemas or what to do if the name is unknown, so usage must be inferred.
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.