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Trending Papers

trending_papers
Read-onlyIdempotent

Today's trending ML/AI papers (or a given day's), ranked by community upvotes, via Hugging Face Papers. Use for "what are the hot AI papers", "trending ML research", "top papers this week".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoOptional day YYYY-MM-DD (default: latest).
limitNoMax papers to return (1-50, default 15).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
countNo
papersNoArray of formatted paper objects

Schema Changelog

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

  1. Changed18 schema fields changed
    • addedOutput schema / properties / count
      Added value: +{
      +  "type": "number"
      +}
    • addedOutput schema / properties / date
      Added value: +{
      +  "type": "string"
      +}
    • removedOutput schema / properties / papers / items / properties / abstract
      Removed value: -{
      -  "description": "Paper abstract",
      -  "type": [
      -    "string",
      -    "null"
      -  ]
      -}
    • changedOutput schema / properties / papers / items / properties / arxiv_id / type
      Previous value: -[
      -  "string",
      -  "null"
      -]New value: +"string"
    • removedOutput schema / properties / papers / items / properties / conference
      Removed value: -{
      -  "description": "Conference name",
      -  "type": [
      -    "string",
      -    "null"
      -  ]
      -}
    • addedOutput schema / properties / papers / items / properties / github_repo
      Added value: +{
      +  "type": [
      +    "string",
      +    "null"
      +  ]
      +}
    • removedOutput schema / properties / papers / items / properties / id
      Removed value: -{
      -  "description": "Papers With Code paper ID",
      -  "type": "string"
      -}
    • removedOutput schema / properties / papers / items / properties / proceeding
      Removed value: -{
      -  "description": "Proceeding identifier",
      -  "type": [
      -    "string",
      -    "null"
      -  ]
      -}
    • changedOutput schema / properties / papers / items / properties / published / type
      Previous value: -[
      -  "string",
      -  "null"
      -]New value: +"string"
    • changedOutput schema / properties / papers / items / properties / title / type
      Previous value: -[
      -  "string",
      -  "null"
      -]New value: +"string"
    • addedOutput schema / properties / papers / items / properties / upvotes
      Added value: +{
      +  "type": "number"
      +}
    • addedOutput schema / properties / papers / items / properties / url
      Added value: +{
      +  "type": "string"
      +}
    • removedOutput schema / properties / papers / items / properties / url_abs
      Removed value: -{
      -  "description": "URL to paper abstract",
      -  "type": [
      -    "string",
      -    "null"
      -  ]
      -}
    • removedOutput schema / properties / papers / items / properties / url_pdf
      Removed value: -{
      -  "description": "URL to paper PDF",
      -  "type": [
      -    "string",
      -    "null"
      -  ]
      -}
    • removedOutput schema / properties / papers / items / required
      Removed value: -[
      -  "id",
      -  "arxiv_id",
      -  "title",
      -  "abstract",
      -  "authors",
      -  "published",
      -  "conference",
      -  "proceeding",
      -  "url_abs",
      -  "url_pdf"
      -]
    • removedOutput schema / properties / returned
      Removed value: -{
      -  "description": "Number of papers returned in this response",
      -  "type": "number"
      -}
    • removedOutput schema / properties / total
      Removed value: -{
      -  "description": "Total number of trending papers",
      -  "type": "number"
      -}
    • removedOutput schema / required
      Removed value: -[
      -  "total",
      -  "returned",
      -  "papers"
      -]
  2. Changed3 schema fields changed
    • addedInput schema / properties / date
      Added value: +{
      +  "description": "Optional day YYYY-MM-DD (default: latest).",
      +  "type": "string"
      +}
    • changedInput schema / properties / limit / description
      Previous value: -"Number of results to return (default: 10, max: 50)"New value: +"Max papers to return (1-50, default 15)."
    • addedInput schema / required
      Added value: +[]
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "properties": {
      +    "papers": {
      +      "description": "Array of formatted paper objects",
      +      "items": {
      +        "properties": {
      +          "abstract": {
      +            "description": "Paper abstract",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "arxiv_id": {
      +            "description": "ArXiv ID of the paper",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "authors": {
      +            "description": "List of paper authors",
      +            "items": {
      +              "type": "string"
      +            },
      +            "type": "array"
      +          },
      +          "conference": {
      +            "description": "Conference name",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "id": {
      +            "description": "Papers With Code paper ID",
      +            "type": "string"
      +          },
      +          "proceeding": {
      +            "description": "Proceeding identifier",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "published": {
      +            "description": "Publication date",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "title": {
      +            "description": "Paper title",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "url_abs": {
      +            "description": "URL to paper abstract",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          },
      +          "url_pdf": {
      +            "description": "URL to paper PDF",
      +            "type": [
      +              "string",
      +              "null"
      +            ]
      +          }
      +        },
      +        "required": [
      +          "id",
      +          "arxiv_id",
      +          "title",
      +          "abstract",
      +          "authors",
      +          "published",
      +          "conference",
      +          "proceeding",
      +          "url_abs",
      +          "url_pdf"
      +        ],
      +        "type": "object"
      +      },
      +      "type": "array"
      +    },
      +    "returned": {
      +      "description": "Number of papers returned in this response",
      +      "type": "number"
      +    },
      +    "total": {
      +      "description": "Total number of trending papers",
      +      "type": "number"
      +    }
      +  },
      +  "required": [
      +    "total",
      +    "returned",
      +    "papers"
      +  ],
      +  "type": "object"
      +}
  4. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "limit": 15
      +  }
      +]
  5. First observed

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the source (Hugging Face) and ranking method (community upvotes), which is useful but minimal. It does not disclose update frequency, cache behavior, or pagination, but given annotations, the description adequately supplements without contradiction.

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?

The description is two sentences: first defines the tool and source, second gives common use cases. It is front-loaded with the core action and wastes no words. Every sentence earns its place.

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

Completeness5/5

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

Given the tool has an output schema (so return values are documented elsewhere), only two simple optional parameters, and no complex behavior, the description provides sufficient context: what the tool does, where data comes from, and when to use it. No important information is missing.

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 the baseline is 3. The description does not add any parameter-specific details beyond what the schema already provides (date and limit). The example 'limit: 15' in the schema is helpful, but the description adds no extra semantics.

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 clearly states that the tool returns today's or a given day's trending ML/AI papers ranked by community upvotes via Hugging Face Papers. It gives specific example queries that distinguish it from sibling tools like get_paper (specific paper) and search_papers (search by query). The verb 'trending' and resource 'papers' are precise.

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?

The description explicitly provides usage scenarios (e.g., 'what are the hot AI papers', 'top papers this week'), making it clear when to use this tool. However, it does not explicitly exclude cases where other tools like search_papers or get_paper would be more appropriate, leaving a minor gap.

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

A3.8/5.0
Disambiguation2/5

ask_pipeworx and ask_pipeworx_beta are currently identical in behavior, creating direct overlap. Additionally, the five query/research tools (ask_pipeworx, ask_pipeworx_grounded, deep_research, validate_claim, bet_research) and six Polymarket tools have heavily overlapping boundaries that require reading long descriptions to disambiguate.

Naming Consistency3/5

Names are uniformly snake_case and mostly readable, with consistent domain prefixes (polymarket_*, pipeworx_*) and a verb_noun majority (get_paper, search_papers, resolve_entity). However, bare-verb memory tools (remember, recall, forget) and adjective-noun names (recent_alerts, trending_papers, deep_research) break the dominant convention, making the set mixed though not chaotic.

Tool Count2/5

At 35 tools, this exceeds the 25+ threshold for 'too many,' and several are near-duplicates or overlapping query modes (ask_pipeworx vs ask_pipeworx_beta vs ask_pipeworx_grounded). The server bundles paper search, a universal data router, prediction-market analytics, memory, subscriptions, dependency scanning, and AI visibility into one surface, which feels over-scoped.

Completeness4/5

The surface is quite thorough for its broad domain: querying has grounded/deep/meta variants, companies have profile/compare/change/claim tools, prediction markets have research/edges/arbitrage/fill-risk/spread tracking, and subscriptions/memory have full lifecycles. Minor gaps exist (no full pack catalog listing, no direct fetch-by-URI tool, no paper leaderboards), but agents can work around them via discover_tools/ask_pipeworx.