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get_breaking_changes

Compare two versions of one Celestia repo and return the release notes between them, plus any forum threads near the release window. Celestia-specific. Use when a developer is planning an upgrade and asks "what breaks moving from X to Y?". Pass version strings as they appear in github_releases tags (with or without the leading "v").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoNoOptional repo hint: "app", "node", "core", "rollkit", "openrpc", or a full owner/name. Defaults to celestia-app.
to_sdkYesTarget version, e.g. "9.1.0" or "v9.1.0".
from_sdkYesOrigin version, e.g. "9.0.0" or "v9.0.0".

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses the returned content (release notes between versions plus nearby forum threads) and the Celestia scope, which is meaningful context. However, it doesn't disclose edge-case behavior (e.g., invalid or non-chronological versions, ordering of results) or the return shape, which is a gap given 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.

Conciseness5/5

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

Three tight sentences with no filler: purpose is front-loaded, then usage trigger, then parameter format. Every sentence earns its place and the most decision-relevant information (what it returns, when to call it) comes first.

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?

Reasonably complete for a 3-param tool with 100% schema coverage. Purpose, usage trigger, and version-format guidance are all present. The main gap is the uncompensated output shape (no output schema and no description of the exact return structure), which is a minor issue for a tool whose core output — release notes — is self-evident from the name and description.

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

Parameters3/5

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

Schema description coverage is 100%, so all three parameters are already documented in the schema. The description adds one genuinely useful rule — pass version strings as they appear in github_releases tags (with or without the leading 'v') — which slightly reinforces the schema's examples but doesn't go materially beyond them. Baseline 3 is appropriate.

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

Purpose4/5

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

States a specific verb and resource: 'Compare two versions of one Celestia repo and return the release notes between them, plus any forum threads near the release window.' The Celestia-specific scoping and two-version comparison make it conceptually distinct from siblings like get_recent_changes or search_release_notes, though it doesn't explicitly name any alternative.

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 an explicit trigger: 'Use when a developer is planning an upgrade and asks "what breaks moving from X to Y?".' This clearly frames when to invoke the tool. It lacks explicit when-not-to-use guidance or named alternatives, but the trigger condition is concrete enough for an agent to route correctly.

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

A3.9/5.0
Disambiguation4/5

Most tools target clearly distinct content types and actions, and descriptions carefully carve out boundaries (e.g. get_network_state vs get_network_stats, get_discussion vs get_github_discussion). However, the overlapping get_/find_/search_ families plus the very similar network_state/network_stats names leave some edge cases where an agent could select the wrong tool.

Naming Consistency4/5

The dominant convention is verb_noun (find_*, get_*, list_*, search_*), and get/list/find roughly map to id-based retrieval, browsing, and discovery. Deviations like learning_path, ecosystem_dependency_graph, and semantic_search break the pattern, and the get_ vs find_ vs search_ boundaries are not perfectly predictable.

Tool Count2/5

43 tools is on the high side for a single MCP server; even though the Celestia knowledge domain is broad, the surface is heavy and will increase selection cost. Most tools are individually useful, but the set would benefit from consolidation, e.g. merging release tools or search variants.

Completeness4/5

The server covers an unusually broad range of content types—CIPs, docs, forum, GitHub issues/discussions, releases, videos, whitepapers, ecosystem, and network state—with list/get/search access for most. Minor gaps remain, such as no dedicated blog retrieval and get_issue_status only returning status rather than full issue body, but core knowledge workflows have no dead ends.

Resources