rbi_press_release
RBI press releases by date.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | ||
| date_to | No | ||
| date_from | No |
Indian Regulatory Data
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
C2/5.0
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden but fails to disclose behavioral traits like read-only nature, rate limits, or what happens on error. It only states purpose, not side effects or limitations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short phrase, which is concise but at the expense of information. It is not structured with front-loaded critical details; it does not provide enough context to be useful.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and 3 parameters with no descriptions, the description is completely inadequate. It does not specify return format, pagination, or how parameters interact. The tool's complexity demands a richer description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, yet the description adds no meaning to parameters (date_to, date_from, limit). The word 'by date' hints at date usage but does not clarify formats or defaults. The schema itself lacks descriptions, and the tool description does not compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'RBI press releases by date' identifies the resource (RBI press releases) and a filter criterion (date), but lacks an action verb (e.g., fetch, list). It distinguishes from sibling 'rbi_circulars' by resource type, but is minimal.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool compared to siblings like rbi_circulars. No mention of prerequisites, typical use cases, or exclusions. Usage is only implied by the resource name.
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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TDQS
B3.3/5.0
Disambiguation5/5
Each tool targets a distinct regulatory domain: AMFI for mutual funds, GST for tax verification, RBI for central bank circulars/press releases, and SEBI for securities circulars/orders. No overlapping purposes.
Naming Consistency5/5
All tool names follow a consistent pattern of organization_entity (e.g., rbi_circulars, sebi_orders), using snake_case throughout. Predictable and clear.
Tool Count5/5
With 6 tools covering major Indian financial regulators, the count is well-scoped for the server's purpose. Each tool addresses a distinct need without redundancy.
Completeness4/5
The set covers key regulatory bodies (AMFI, GST, RBI, SEBI) but misses others like income tax, MCA, IRDAI, or PFRDA. Within the covered agencies, core document types are present, but some secondary resources are absent.