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List trending GitHub repositories

github_trending_repositories_list
Read-only

List trending GitHub repositories for a language and time window. Returns a list (use cursor when paginated).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
trimNoIgnored if this tool does not support it.
limitNoIgnored if this tool does not support it.
sinceNoTrending time window. Default: `daily`.
offsetNoIgnored if this tool does not support it.
contextYesDescribe the user's underlying goal in one sentence — not the tool you are calling.
languageNoOptional coding language filter.
pageSizeNoIgnored if this tool does not support it.
llm_modelYesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model identifier with certainty, pass "unknown" — never guess.
maxResultsNoIgnored if this tool does not support it.
max_resultsNoIgnored if this tool does not support it.
conversation_idNoEcho the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.
spokenLanguageCodeNoOptional spoken language code filter.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • addedInput schema / properties / limit
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / maxResults
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / max_results
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / offset
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / pageSize
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
    • addedInput schema / properties / trim
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "number"
      +    },
      +    {
      +      "type": "boolean"
      +    }
      +  ],
      +  "description": "Ignored if this tool does not support it."
      +}
  2. Changed5 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / context
      Added value: +{
      +  "description": "Describe the user's underlying goal in one sentence — not the tool you are calling.",
      +  "type": "string"
      +}
    • addedInput schema / properties / conversation_id
      Added value: +{
      +  "description": "Echo the conversation_id from the server's previous response. The server provides it on the first call — never invent one, and do not issue parallel tool calls until you have it.",
      +  "type": "string"
      +}
    • addedInput schema / properties / llm_model
      Added value: +{
      +  "description": "The exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. \"claude-opus-4-8\", \"gpt-5.2\"). Used for analytics only. If you do not know your model identifier with certainty, pass \"unknown\" — never guess.",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "context",
      +  "llm_model"
      +]
  3. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  4. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  5. Changed1 schema field changed
    • changedInput schema / properties / since / description
      Previous value: -"Trending time window. Defaults to daily when omitted."New value: +"Trending time window. Default: `daily`."
  6. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With readOnlyHint and openWorldHint already covering the safety profile, the description adds useful behavioral context: the tool returns a list and callers should use a cursor when paginating. This goes beyond what the annotations state, even though it does not map the cursor concept to a concrete schema parameter.

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?

One concise, front-loaded sentence followed by a short parenthetical pagination note. Every word contributes information, and the primary action and filters are immediately visible.

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

Completeness3/5

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

For a 12-parameter tool with no output schema, the description is lean: it names the main filters and the list-shaped return, but it does not clarify that language is optional, which parameters participate in pagination, or what fields the returned repositories contain. The schema covers parameter names well, so the gap is moderate rather than severe.

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?

The input schema already documents all 12 parameters, so the baseline is 3. The description reinforces that 'language' and 'since' are the meaningful filters and hints at pagination, but it does not add detail beyond the schema. It also phrases language as core while the schema marks it optional.

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?

The description opens with a specific verb ('List'), names the exact resource ('trending GitHub repositories'), and states the two dimensions that shape the call ('language and time window'). This clearly distinguishes it from sibling tools like github_trending_developers_list and github_profile_repositories_list.

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

Usage Guidelines3/5

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

The description makes it clear what the tool does and implies when it applies (trending-repository requests), but it does not explicitly route the agent toward or away from alternatives such as github_trending_developers_list or github_repositories_get. There is no when-not-to-use guidance.

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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