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Shlok Bam's portfolio

Blog posts

get_writing
Read-onlyIdempotent

Shlok's technical blog posts (his journal), newest first: title, date, topic tag, summary and link. The topic filter is case-insensitive and matches part of a post's topic tag, title or summary ("agent" finds posts tagged Agents); leave it empty for every post. No match returns count 0 and an empty list. For the projects the posts describe, use get_project.

Input Schema

NameRequiredDescriptionDefault
topicNoOnly posts about this: case-insensitive, matched as part of the topic tag, title or summary. Examples: "Agents", "RAG", "DevOps", "MCP". Empty for all posts.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / topic / description
      Previous value: -"Only posts on this topic, e.g. \"Agents\", \"RAG\", \"DevOps\". Leave empty for all."New value: +"Only posts about this: case-insensitive, matched as part of the topic tag, title or summary. Examples: \"Agents\", \"RAG\", \"DevOps\", \"MCP\". Empty for all posts."
  2. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds value beyond that by disclosing result ordering (newest first) and the empty-result contract (count 0 and an empty list), though it says nothing about result volume or pagination for large blogs.

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?

Three short sentences, front-loaded with what the tool returns before the filter rules and the sibling pointer. Minor redundancy with the schema's own parameter text, but no filler or throat-clearing.

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?

For a single-optional-parameter read tool with no output schema, the description covers return fields, ordering, filter matching rules and the empty-result case. Nothing an agent needs in order to call it correctly 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% and the schema already states that the topic filter is case-insensitive and matched as part of the topic tag, title or summary, with examples and an empty-for-all rule. The description restates essentially the same semantics (adding only the 'agent' → Agents illustration), so it adds little meaning beyond the structured field — baseline 3.

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 resource (Shlok's technical blog posts / journal) and enumerates exactly what each item contains (title, date, topic tag, summary, link) plus ordering (newest first). It also explicitly distinguishes itself from get_project, which covers the projects the posts describe, so an agent can route correctly without opening the schema.

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

Usage Guidelines5/5

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

Explicitly says to leave the topic filter empty to retrieve every post, and names the alternative tool (get_project) for the adjacent need. The no-match condition is also spelled out, leaving little for the agent to infer about when and how to call it.

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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