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Glama

Paperswithcode

by io.github.pipeworx-io

Get Repositories

get_repositories
Read-onlyIdempotent

Find IMPLEMENTATIONS of a paper (by arXiv id): the linked GitHub repository plus the most popular Hugging Face models, demo Spaces, and datasets that implement or reproduce it — the "papers with code" view. Use for "code/implementation for ", "models trained on ".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
arxiv_idYesarXiv identifier (e.g. "2312.00752").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYesTotal number of repositories linked to the paper
paper_idYesThe paper ID queried
repositoriesYesArray of repository objects

Schema Changelog

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

  1. Changed1 schema field changed
    • changedInput schema / examples
      Previous value: -[
-  {
-    "id": "attention-is-all-you-need"
-  }
-]New value: +[
+  {
+    "arxiv_id": "2312.00752"
+  }
+]
  2. Changed3 schema fields changed
    • addedInput schema / properties / arxiv_id
      Added value: +{
+  "description": "arXiv identifier (e.g. \"2312.00752\").",
+  "type": "string"
+}
    • removedInput schema / properties / id
      Removed value: -{
-  "description": "Papers With Code paper ID",
-  "type": "string"
-}
    • changedInput schema / required
      Previous value: -[
-  "id"
-]New value: +[
+  "arxiv_id"
+]
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "properties": {
+    "paper_id": {
+      "description": "The paper ID queried",
+      "type": "string"
+    },
+    "repositories": {
+      "description": "Array of repository objects",
+      "items": {
+        "properties": {
+          "description": {
+            "description": "Repository description",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "framework": {
+            "description": "Framework used in the repository",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "id": {
+            "description": "Repository ID",
+            "type": [
+              "number",
+              "null"
+            ]
+          },
+          "is_official": {
+            "description": "Whether this is the official implementation",
+            "type": [
+              "boolean",
+              "null"
+            ]
+          },
+          "name": {
+            "description": "Repository name",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "owner": {
+            "description": "Repository owner",
+            "type": [
+              "string",
+              "null"
+            ]
+          },
+          "stars": {
+            "description": "Number of stars on the repository",
+            "type": [
+              "number",
+              "null"
+            ]
+          },
+          "url": {
+            "description": "Repository URL",
+            "type": [
+              "string",
+              "null"
+            ]
+          }
+        },
+        "required": [
+          "id",
+          "url",
+          "owner",
+          "name",
+          "description",
+          "stars",
+          "framework",
+          "is_official"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    },
+    "total": {
+      "description": "Total number of repositories linked to the paper",
+      "type": "number"
+    }
+  },
+  "required": [
+    "paper_id",
+    "total",
+    "repositories"
+  ],
+  "type": "object"
+}
  4. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "id": "attention-is-all-you-need"
+  }
+]
  5. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, signaling safe retrieval. Description adds minor behavioral details like returning 'most popular' items and a 'papers with code' view, but does not substantially expand on the safety profile.

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?

Two sentences, no redundant words. Front-loaded with the primary action and resource. Every part adds value.

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?

Given the simple parameter set (1 required), full annotations, and existence of an output schema, the description is nearly complete. It could explicitly mention that a list is returned, but that is implied.

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?

Only one parameter (arxiv_id) with 100% schema description coverage. The description does not add meaning beyond what the schema already states (arXiv identifier with example). Baseline score of 3 is appropriate.

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?

Description specifies a concrete verb ('Find') and resource ('implementations of a paper by arXiv id'), listing specific output types (GitHub repo, Hugging Face models, demo Spaces, datasets). It clearly distinguishes from sibling tools like 'get_paper' or 'search_papers' by focusing on implementations.

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?

Description provides explicit usage contexts: 'code/implementation for <paper>', 'models trained on <paper>. It does not mention when not to use, but the purpose is distinct enough that alternatives are implied from the sibling list.

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.

Resources