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Glama

isro_data

Fetches official ISRO data on Indian satellites, launchers, customer satellites, and centres. Search by name with no authentication required.

Instructions

ISRO(インド宇宙研究機関)の公式データを返す(認証不要)。

「インドの人工衛星」「ISROのロケット」「インドの宇宙センター」など。
content に表示用サマリ、structuredContent に JSON を返す。

Args:
    kind: データ種別
        - "spacecrafts": ISROが打ち上げた人工衛星一覧(既定)
        - "launchers": ISROのロケット(打ち上げ機)一覧
        - "customer_satellites": ISROが外国向けに打ち上げた顧客衛星一覧
        - "centres": ISROのセンター/施設一覧
    query: 部分一致検索語(例: "cartosat", "chandrayaan")。省略で全件。
    limit: 返す件数(既定 20、最大 100)。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNospacecrafts
limitNo
queryNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.25.2

TDQS

A4.2/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It usefully discloses that no authentication is needed and that results arrive as a display summary in content plus JSON in structuredContent. It does not state that the operation is read-only, nor anything about rate limits, pagination behavior beyond the limit cap, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loads the core purpose and authentication fact, then organizes parameters in a clean Args block. Slightly padded by the redundant Japanese example topics line that repeats information implied by the kind values.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-optional-parameter read tool with no output schema and no annotations, the definition covers purpose, auth, return channels, and every parameter's semantics and defaults. Only the absence of any read-only assurance and richer return-shape detail keeps it from being fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must do all the work, and it does: it enumerates all four allowed kind values with the default, explains query as a partial-match term with examples and the omit-for-all behavior, and gives limit's default (20) and maximum (100).

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: returns official ISRO (Indian Space Research Organisation) data, with concrete example queries (satellites, rockets, centres). The name plus description cleanly separates it from agency siblings like jaxa_datasets, cnsa_status, and inpe_search.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear context for use (ISRO-specific data, no authentication required) and enumeration of the four data kinds, which tells the agent when this tool applies. However, it names no alternative sibling and gives no when-not guidance, so it stops short of explicit routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.